You are a data engineer who thrives in an integrated team working closely with stakeholders, data analysts, data scientists, and ML engineers.
You want to participate in overall architecture and strategy for the deployment of our end-to-end data pipelines.
You have experience designing, building, and maintaining end-to-end scalable data pipelines.
You are looking to apply dimensional modeling techniques to design tables and views that map business processes into an enterprise data model.
What you will do:
Work with senior business stakeholders to break down business problems and design analytics solutions
Provide technical leadership to drive best practices for data modeling, ETL, and data quality
Design and build data pipelines to enable decision making through analytics
Develop automated solutions to replace manual data processes
Refine and enhance reporting data models
Act as a champion for data quality by proactively identifying data quality issues and coordinating with system owners to resolve issues quickly
Build relationships with senior business leaders to gather requirements and evangelize data analytics best practices
What you bring with you:
Hands-on development experience with SQL and an ETL tool
Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling
Programming experience in Python
Knowledge of reporting tools such as Tableau or Power BI is a nice-to-have
Education and Experience:
- Bachelor’s degree in Computer Science or a related discipline, or equivalent experience. Master’s degree preferred.
- A minimum of 8 years of experience working in information systems, including at least 5 years developing and maintaining corporate relational DBMS and its components. Experience must cover database and data modeling, designing component-based, open-system architecture, and complex client-server information systems.
- Experience designing, implementing, and supporting data pipelines and services in multi-platform distributed environments, utilizing Java, Python, and/or Scala with strong object-oriented programming skills.
Compensation Range:
$175,000.00-$220,000.00Placement 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
- Hands-on development experience with SQL and an ETL tool
- Advanced SQL capabilities
- Understanding of data warehousing methodologies and dimensional data modeling
- Programming experience in Python
- Knowledge of reporting tools such as Tableau or Power BI
- Bachelor's degree in Computer Science or a related discipline
- A minimum of 8 years of experience in information systems
- Experience in developing and maintaining corporate relational DBMS
- Experience designing data pipelines and services in multi-platform environments
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
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.
.jpg)
