Big data engineer salary

In this material, we will talk about what knowledge and skills specialists should have, what kind of education is valued by employers, how interviews go, and how much data engineers and data scientists earn.

Big data engineer salary

What a Data Scientist and Data Engineer Should Know

The profile education for both specialists is Computer Science. Any data scientist – data scientist or analyst – should be able to prove the correctness of their conclusions. To do this, one cannot do without knowledge of statistics and the basic mathematics associated with statistics.

Machine learning and data analysis tools are indispensable in today's world. If familiar tools are not available, you need to have the skills to quickly learn new tools, create simple scripts to automate tasks.

It is important to note that the data scientist must effectively communicate the results of the analysis. This will help him visualize the data or the results of studies and testing hypotheses. Professionals should be able to create charts and graphs, use visualization tools, understand and explain data from dashboards.

For a data engineer, three areas come to the fore.

Algorithms and data structures. It is important to get your hand in writing code and using the basic structures and algorithms:

  • algorithm complexity analysis,
  • ability to write understandable maintainable code,
  • batch processing,
  • real time processing.

Databases and data warehouses, Business Intelligence:

  • storage and processing of data,
  • design of complete systems,
  • Data Ingestion,
  • distributed file systems.

Hadoop and Big Data. There is more and more data, and on the horizon of 3-5 years, these technologies will become necessary for every engineer. A plus:

  • data lakes,
  • work with cloud providers.

Machine learning will be used everywhere, and it is important to understand what business problems it will help solve. It is not necessary to be able to make models (data scientists can handle this), but you need to understand their application and the corresponding requirements.

What is big data engineer salary?

In international practice, the starting salary is usually $100,000 per year and increases significantly with experience, according to Glassdoor. In addition, companies often provide stock options and 5-15% annual bonuses.

What are the interviews like

In the West, graduates of vocational training programs have their first interview an average of 5 weeks after graduation. About 85% find a job after 3 months.

The process of passing interviews for the vacancy of a data engineer and a data scientist is practically the same. Usually consists of five stages.

Intro

Candidates with non-core previous experience (for example, from marketing) need to prepare a detailed cover letter for each company or have recommendations from a representative of this company.

Technical screening

It usually takes place over the phone. Consists of one or two difficult and as many simple questions regarding the current employer stack.

HR interview

Can be done by phone. At this stage, the candidate is tested for general adequacy and ability to communicate.
 
Technical interview

Most often passes internally. In different companies, the level of positions in the staffing table is different, and positions can be called differently. Therefore, it is technical knowledge that is tested at this stage.

Interview with CTO/Chief Architect

Data Scientist and Data Engineer are both strategic and new positions for many companies. It is important that a potential colleague like the leader and coincide with his views.

What will help data scientists and data engineers in career growth
There are a lot of new tools for working with data. And few people are equally well versed in all.

Many companies are not ready to hire employees without work experience. However, candidates with a minimal background and knowledge of the basics of popular tools can gain the necessary experience if they learn and develop on their own.

Useful Skills for a Data Engineer and Data Scientist

Willingness and ability to learn. You don't have to jump right into experience or change jobs for a new tool, but you do need to be ready to switch to a new field.

The desire to automate routine processes. This is important not only for productivity, but also for maintaining the high quality of data and the speed of its delivery to the consumer.

Attentiveness and understanding of “what's under the hood” of processes. The specialist who has a good eye and a thorough knowledge of the processes will solve the problem faster.

In addition to excellent knowledge of algorithms, data structures and pipelines, you need to learn how to think in products – to see the architecture and business solution as a single picture.

For example, it is useful to take any well-known service and come up with a database for it. Then think about how to develop ETL and DW that will populate it with data, what consumers will be and what it is important for them to know about data, as well as how buyers interact with applications: job search and dating, car rental, podcast application, educational platform.

Analyst, Data Scientist and Data Engineer positions are very close, so you can move from one direction to another faster than from other areas.

In any case, it will be easier for owners of any IT background than for those who do not have it. On average, motivated adults retrain and change jobs every 1.5–2 years. It is easier for those who study in a group and with a mentor, compared to those who rely only on open sources.

Work Styles at Zoom

Additional Locations:

Introduction

At IBM, work is more than a job – it`s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you`ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world`s most challenging problems? If so, lets talk.

Your Role and Responsibilities

The position of the Data Engineer plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Develops Big Data and Cognitive technologies including API development. Expected to have experience with ETL tools & Data warehouses. Strong technical abilities to understand, design, write and debug complex code.

This position requires relocation to Louisiana within 30 days of the office reopening. This position requires up to 50% travel. This is not a permanent work from home position.

Description:

DATA ENGINEER

Are you an entrepreneurial data engineer who loves data and reporting but also wants to be more involved in the day-to-day business operations of a company? Do you get excited by solving problems, analyzing trends, creating solutions and do you have a unique ability to create order out of chaos? If you answered yes to these questions, then Upward Health has the perfect job for you. We have a unique opportunity for an energetic, smart, business savvy individual who is looking to join an entrepreneurial healthcare company and help change the lives of the patients we serve. He or she will be a dynamic team player with an outgoing personality that understands the importance of collaboration and communication. We are looking for a hard worker who is detail oriented who is excited by the opportunity to work for a company that values and rewards hard work, but that also prioritizes rewarding that hard work and having fun.

If you are excited by the thought of using your skills positively affect how healthcare is delivered to patients, as well as the opportunity to join a rapidly growing, technology enabled healthcare company that values its employees and rewards excellent performance, then please apply to this job. You will be glad that you did.

KEY RESPONSIBILITIES:

  • Develop highly scalable reporting, data integration and web service features for technology deliverables and provide enterprise-level architectural design and oversight.
  • Develop, optimize and work with architects on data models for Data Warehouse and Operational databases.
  • Analyze functional needs and design, develop, integrate, and test software to meet those needs.
  • Design data integrations and analytics in accordance with architecture and security policies, procedures, and quality assurance best practices.
  • Create models and diagrams (such as flowcharts) that instruct other developers/programmers how integrations and data flows function.
  • Document integrations, applications and system components as a reference for future maintenance and upgrades.
  • Evaluate proposals to identify potential problem areas and make appropriate recommendations.
  • Research technologies for possible placement/adoption into UH`s back-end system.
  • Ability to meet with users and business analysts to understand requirements, translate them into solutions and document technical designs.
  • Supervise and/or implement technology projects and support the resulting features in a Production environment.
  • Ability to test your code and provide quality deliverables.

KNOWLEDGE, SKILLS & ABILITIES:

  • Highly ambitious, given role will grow as the company does.
  • Self-starter, very energetic and ability to change directions quickly.
  • High standard of quality and commitment to product top-notch work.
  • Ability to communicate ideas clearly and effectively in both technical and user-friendly language.
  • Proficiency in Java, Power BI, Microsoft SQL Server and Microsoft Azure services.
  • Proficiency and experience developing and optimizing Structured Query Language (SQL) to analyze and query data for reporting.
  • Proficiency in data modeling and database technologies.
  • Experience integrating with SaaS systems using Application Programming Interfaces (APIs).
  • Proven ability to design and write web services/API code, micro services using API Frameworks and data structures (Rest, Json).
  • Proven ability to design and develop ETL services using Azure Data Factory, experience with Talend a plus.
  • Proven ability to design & develop services using Azure Functions and Azure Service Bus to build a scalable, pub/sub enterprise platform.
  • Proven ability to develop services according to healthcare industry security standards.
  • Knowledge of other Azure services a plus.
  • Coding ability using Visual Studio and C# a plus.
  • Strong curiosity, desire to learn new skills and acquire new knowledge.
  • Excellent written and verbal communication, ability to work well with people of different backgrounds and skill sets.
  • Ability to work independently and in a highly virtual environment, with colleagues all over the country.
  • Strong work ethic and willingness to work long hours, including nights and weekends when required.
  • Willingness to cover after-hours support when needed.

Requirements:

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree from highly selective university
  • Industry experience in healthcare

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.

As part of the university`s comprehensive vaccination program , all Cornell employees are required to have and provide proof of an FDA-or WHO-authorized or approved COVID-19 vaccine or have obtained a university-approved disability/medical or religious exemption, regardless of their role and work location.

New hires are required to provide documentation showing full vaccination status (that is, completion of two shots of the Moderna or Pfizer vaccine or one shot of the Janssen/Johnson & Johnson) before their first day of work. If a new hire`s vaccination is not complete or information is not received by their start date, the first day of work will be delayed. It is possible in some cases that an offer of employment may be withdrawn.

For additional information on Cornell’s Vaccination Compliance Program click here .

This position is located in Ithaca, New York. The successful candidate will have the option to perform this role at a location of their choosing within the United States.

The New York Convenience of employer guidelines require New York State individual tax reporting and withholdings for this position. Additional individual state income tax filings may also be required if working temporarily outside New York State.

No Visa sponsorship available for this position.

What is Cornell University and what is Information Technology @ Cornell?
Cornell University, unique among peers, is the federal land-grant institution of New York State, a private endowed university, and a member of the Ivy League. Information technologies (IT) is a strategic enabler for many functions at Cornell. Staff working in IT are found in most colleges and units across Cornell. We are comprised of many organizations, but we work as one. By being where Cornell faculty, staff, and students are, we are better able to offer support—whether needed at your desktop or to solve a major business, academic or research objective—to everyone at Cornell. Check out this link to find out more about [email protected] .

What you will do:

As a member of Cornell Information Technologies’ Data Warehousing and Integrations team, the Data Engineer is part of a sub-team who develops robust, reliable, and standardized data solutions in support of data analytic needs across campus. This is an area of rapid change where candidate would be expected to be able to learn and apply new technical skills on an ongoing basis. The Data Engineer is a member of the team who develop and support Cornell’s data warehousing and data lake echo system. The Data Engineer works daily with customers and colleagues to develop and support a vast data environment.

What you will be:

You are self-motivated, and someone who will proactively support the many data feeds, transformations, and updates which make up Cornell’ DL/DW echo system. You will work collaboratively with customers and IT team members to develop new lake/data warehouse content that is enterprise grade and supportable. You will also serve as the DL/DW liaison and subject matter expert to project teams requesting our resources. You will have strong documenting skills and the ability to create and maintain standard operating procedures. You are a quick learner of new tools and environments related to the data analytics space. You will research and conduct impact analysis of changing schema and data model requirements and be expected to participate in the 24X7 DL/DW On Call support rotation for the department.

Additionally, you will have:

Bachelor`s degree with 3-5 years of experience OR , equivalent combination of experience and/or education from which comparable knowledge, skills and abilities have been achieved.

  • SQL (DDL and DML)
  • Development experience within a Relational Database such as: Postgres, Oracle, MS SQL Developer
  • Proven experience developing data transformation solutions in one or more programing languages
  • One to two years of related experience in at least two of the following: data analysis, data lake/data warehouse design/construction, or report/dashboard development
  • Must have a strong desire to become highly proficient in a new and rapidly evolving technical space
  • Strong development skills (e.g., ability to quickly learn specific functional need and effectively and efficiently apply solutions to desired outcome)
  • Must enjoy and have demonstrated successful experience in a rapidly changing, continual learning IT/Business environment
  • Demonstrated proficiency developing technical skills, performing problem solving skills and possess an ability to multi-task within a team, service-oriented environment.
  • Demonstration of excellent technical, verbal, and written communications skills.
  • Preferred experience in developing and supporting data transformations using an ETL product such as: Informatica, Data Stage, WhereScape, Talend, database procedural language, have experience with Python, understanding of dimensional data modeling concepts and experience with cloud services, such as AWS (S3, Redshift, Glue, Athena, RDS, EMR)

What we offer:

Great benefits that include educational benefits, access to a plethora of wellness programs, employee discounts with local and national retail brands, health care options to choose from, generous paid leave provisions: Paid vacation and health/personal time, 12 university paid holidays (including end of year winter break through New Year’s Day) and superior retirement contributions.

An active and diverse community to work and thrive in! Cornell is situated in picturesque Ithaca, New York, the heart of the Finger Lakes. Ithaca is home to two academic institutions, state parks, waterfalls, gorges, and a wide range of art galleries, theaters, eateries, wineries, and breweries. Ithaca has something to suit all ages and interests!

University Job Title:

Business Intelligence Eng III

Job Family:

Information Technology

Level:

F

Pay Rate Type:

Salary

Company:

Endowed

Contact Name:

Susie Jackson

Number of Openings:

1

Job Titles and Pay Ranges:

To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . The final rate of pay for the successful candidate will be determined considering the following criteria:

  • Prior relevant work or industry experience.

  • Education level to the extent education is relevant to the position.

  • Unique applicable skills.

Current Employees:

If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell.

Online Submission Guidelines :

Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.

Employment Assistance:

For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email [email protected] .

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University`s Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at [email protected] .

Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also visit the office of Workforce Recruitment and Retention Monday – Friday between the hours of 8:30 a.m. – 4:30 p.m. to use a dedicated workstation to complete an online application.

Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:

Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university`s mission of teaching, discovery, and engagement.

2022-07-12-07:00

Senior Data and Analytics Engineer (REMOTE)

We are seeking a Data Engineer who will partner with business, analytics and infrastructure teams to design and build data pipelines to facilitate forecasting and measuring advertising campaign effectiveness. Collaborating across disciplines, you will identify internal/external data sources to design table structure, define ETL strategy & automated Data Quality
checks.

Responsibilities :

  • Partner with technical and non-technical colleagues to understand data and reporting requirements.

  • Work with engineering teams to collect required data from internal and external systems.

  • Design table structures and define ETL strategy to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

  • Develop Data Quality checks and visualizations/dashboards

  • Develop and maintain ETL routines using ETL, Spark and orchestration tools such as Airflow and Nifi.

  • Implement database deployments using tools like Liquibase

  • Perform ad hoc analysis as necessary.

  • Perform SQL and ETL tuning as necessary.

  • Develop and maintain Dashboards/reports using Looker

Basic Qualifications :

  • 2+ years of relevant Professional experience.

  • 1+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles etc.

  • 1 + years of experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Snowflake or Redshift.

  • 1+ Years of experience programming languages (e.g. Python, Pyspark) preferred.

  • 1+ years of experience with workflow management tools (Airflow, Nifi).

  • 1+ years of experience working with Spark on EMR or Databricks.

  • Good understanding of SQL Engines and able to conduct advanced performance tuning

  • Ability to think strategically, analyze and interpret market and consumer information.

  • Strong communication skills – written and verbal presentations.

  • Excellent conceptual and analytical reasoning competencies.

  • Degree in an analytical field such as economics, mathematics, or computer science is desired.

  • Comfortable working in a fast-paced and highly collaborative environment.

  • Familiarity with Agile Scrum principles and ceremonies

We are seeking a Data Engineer who will partner with business, analytics and infrastructure teams to design and build data pipelines to facilitate forecasting and measuring advertising campaign effectiveness. Collaborating across disciplines, you will identify internal/external data sources to design table structure, define ETL strategy & automated Data Quality
checks.

Responsibilities :

  • Partner with technical and non-technical colleagues to understand data and reporting requirements.

  • Work with engineering teams to collect required data from internal and external systems.

  • Design table structures and define ETL strategy to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

  • Develop Data Quality checks and visualizations/dashboards

  • Develop and maintain ETL routines using ETL, Spark and orchestration tools such as Airflow and Nifi.

  • Implement database deployments using tools like Liquibase

  • Perform ad hoc analysis as necessary.

  • Perform SQL and ETL tuning as necessary.

  • Develop and maintain Dashboards/reports using Looker

Basic Qualifications :

  • 2+ years of relevant Professional experience.

  • 1+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles etc.

  • 1 + years of experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Snowflake or Redshift.

  • 1+ Years of experience programming languages (e.g. Python, Pyspark) preferred.

  • 1+ years of experience with workflow management tools (Airflow, Nifi).

  • 1+ years of experience working with Spark on EMR or Databricks.

  • Good understanding of SQL Engines and able to conduct advanced performance tuning

  • Ability to think strategically, analyze and interpret market and consumer information.

  • Strong communication skills – written and verbal presentations.

  • Excellent conceptual and analytical reasoning competencies.

  • Degree in an analytical field such as economics, mathematics, or computer science is desired.

  • Comfortable working in a fast-paced and highly collaborative environment.

  • Familiarity with Agile Scrum principles and ceremonies

Position: Senior Data Engineer