Data Engineer

Posted 2 Days Ago
Arlington, VA, USA
In-Office
110K-130K Annually
Mid level
Information Technology • Legal Tech • Professional Services • Business Intelligence
The Role
Design, develop, and maintain Databricks-based data pipelines and ETL/ELT processes. Collaborate with analysts and data scientists to deliver reliable datasets, monitor pipeline performance and data quality, manage cloud data infrastructure, and support data governance, documentation, and analytics teams.
Summary Generated by Built In

Bloomberg Industry Group runs on data. As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with our customers, create greater efficiencies, and drive new businesses by providing data insights. Our data captures the who, what, when, where and why of how our company goes to market. Senior business leaders rely on our work every day to make strategic decisions.

What You Will Do:

  • Design, develop, and maintain data pipelines using Databricks

  • Build and optimize ETL/ELT processes to ingest, transform, and load data from various source systems.

  • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and deliver reliable datasets.

  • Monitor data pipeline performance and troubleshoot data quality or processing issues.

  • Develop and maintain data models, documentation, and metadata.

  • Support the implementation of data governance, security, and data quality standards.

  • Assist in managing cloud-based data infrastructure and storage solutions.

  • Participate in code reviews and follow best practices for data engineering and software development.

  • Support reporting and analytics teams by creating and maintaining curated data assets.

  • Continuously learn and apply new technologies, tools, and methodologies within the data engineering ecosystem.

You'll Need to Have:

  • 3 years of experience in data engineering, data integration, or related technical roles.

  • Hands-on experience with Databricks preferred.

  • Proficiency in SQL and experience querying large datasets.

  • Experience with Python for data processing and automation.

  • Understanding of ETL/ELT concepts and data pipeline development.

  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

  • Basic knowledge of data warehousing concepts and dimensional modeling.

Compensation Range:

$110,000.00-$130,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity

Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).

Skills Required

  • 3 years of experience in data engineering, data integration, or related technical roles.
  • Hands-on experience with Databricks.
  • Proficiency in SQL and experience querying large datasets.
  • Experience with Python for data processing and automation.
  • Understanding of ETL/ELT concepts and data pipeline development.
  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Basic knowledge of data warehousing concepts and dimensional modeling.

Bloomberg Industry Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bloomberg Industry Group and has not been reviewed or approved by Bloomberg Industry Group.

  • Affordable Benefits Health coverage is advertised at low employee premiums, with coverage available for as little as $50 per month. Low out-of-pocket medical costs are positioned as a clear value.
  • Parental & Family Support Parenting leave, back-up childcare, and family-support programs are emphasized as core parts of the package. These supports add practical flexibility for caregivers.
  • Retirement Support A 401(k) with company match alongside profit-share contributions is included. This structure strengthens long-term savings beyond a basic retirement plan.

Bloomberg Industry Group Insights

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The Company
HQ: Arlington, VA
1,392 Employees

What We Do

Bloomberg Industry Group empowers professionals in government, law, tax, and accounting with the news, data, and analysis they need to take decisive action and make the most of every opportunity. Bloomberg Industry Group is an affiliate of Bloomberg L.P.

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