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Union Data Science Jobs in Washington (NOW HIRING)

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

... Union. * Lead the design and implementation of cutting-edge AI systems using large language models ... Provide delivery and ongoing support for data science, advanced analytics, and augmented ...

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BlueLabs, Inc.

Data Engineer II

Washington, DC · On-site +1

$95K - $125K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... unions, political campaigns, and international groups. In addition, we service an ever-expanding ...

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Union Data Science information

What is a union data scientist?

A Union Data Scientist is a professional who applies data science techniques and methodologies within labor unions or organizations representing workers. Their role typically involves analyzing large datasets to support collective bargaining, improve workplace conditions, and inform union strategies. They may work with membership data, wage information, and industry trends to generate actionable insights. Union Data Scientists play a key role in helping unions make data-driven decisions to better advocate for their members.

What is the difference between Union Data Science vs Data Analyst?

AspectUnion Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst or Google Data Analytics
Work EnvironmentCollaborative teams within unions or labor organizations, often project-basedOffice settings in various industries, focusing on data interpretation and reporting
Employer & Industry UsageLabor unions, advocacy groups, government agenciesCorporations, consulting firms, government agencies across multiple sectors

Union Data Scientists and Data Analysts both analyze data, but Union Data Science roles often focus on labor-related issues within union organizations, requiring similar technical skills but applied in advocacy or policy contexts. Data Analysts typically work across industries to interpret data for business decisions. The key differences lie in their work environment and primary focus areas.

What are the key skills and qualifications needed to thrive as a union data scientist, and why are they important?

To thrive as a Union Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and database management systems is typically required. Excellent communication, problem-solving abilities, and collaboration skills help translate complex data insights to union stakeholders and support collective bargaining strategies. These skills are crucial for driving data-informed decision-making and advancing the goals of union organizations.

Are union data science jobs still in demand?

Union data science jobs remain in demand due to the growing reliance on data-driven decision-making across industries. These roles often require skills in statistical analysis, machine learning, and proficiency with tools like Python or R, with job stability influenced by union agreements and industry growth trends.

How do union data scientists typically collaborate with union leadership and members to address workplace issues?

Union Data Scientists often work closely with union leadership, organizers, and members to analyze workplace data—such as wage trends, grievance outcomes, or safety incidents—to support collective bargaining and policy advocacy. They translate complex data findings into actionable insights that inform negotiations or campaigns, requiring strong communication and collaboration skills. Regular interactions may involve presenting data to non-technical audiences or participating in strategy sessions, making teamwork and the ability to convey technical information in accessible ways essential to the role.
What are the most commonly searched types of Data Science jobs in Washington? The most popular types of Data Science jobs in Washington are:
What are popular job titles related to Union Data Science jobs in Washington? For Union Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Union Data Science jobs in Washington look for? The top searched job categories for Union Data Science jobs in Washington are:
What cities in Washington are hiring for Union Data Science jobs? Cities in Washington with the most Union Data Science job openings:
Union Data Science jobs near you

Data Platform Administrator

Lafayette Federal Credit Union

Rockville, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Description:

Description


NOTICE: JOB APPLICANTS LIMITED TO DC, MD, OR VA RESIDENTS. POSITION IS HYBRID. Please note that we are exclusively considering applicants residing in the District of Columbia, Maryland, or Virginia for all open positions.


Be part of Lafayette Federal Credit Union, recognized by USA Today as a Top Workplace for three consecutive years (2024–2026)

We are expanding and looking for exceptional talent to support our members and contribute to our reputation as an employer of choice. Be a key player in our mission to become the premier financial partner for our community. Your skills and dedication are essential to our success.


Lafayette Federal may have the perfect opportunity for you! We are currently seeking a Data Platform Administrator to join our dynamic team!


About us:

Our Difference: What makes Lafayette Federal cutting-edge? Lafayette Federal Credit Union is not only a great place to bank, but also a great place to work! We have been recognized nationally by (1) Newsweek’s America’s Best Bank’s list, (2) we’ve received a 5-star rating from Bauer financial, and (3) we’ve also ranked #12 in S&P Global’ s Top Performing Credit Union’s in 2022 for the second year in a row!


Our Culture: Lafayette Federal is about inclusion, diversity, high performance, and new opportunities. Teamwork and our sense of community also make Lafayette Federal a great place to work. Each person is valued for his or her unique set of skills. We share a common devotion to the people we serve, participating in charity events throughout each year and giving back to the community.


Our Opportunities: Professional development, training, and certification is a priority for our employees. We want you to reach your career goals and provide support that leads to opportunities of advancement within the industry.


About the role:

Lafayette Federal Credit Union is seeking a Data Platform Administrator to lead the design, administration, and continuous enhancement of the Credit Union’s enterprise data platform. This role is responsible for leveraging Microsoft Fabric and Azure technologies to deliver reliable data integration, scalable analytics capabilities, effective data governance, and trusted enterprise reporting. The Data Platform Administrator plays a key role in ensuring data accessibility, accuracy, and security while supporting business operations, financial management, regulatory reporting, and strategic decision-making across the organization. This position partners closely with business and technology stakeholders to drive data maturity, operational efficiency, and long-term organizational success.


Requirements:


  • Own and manage the Credit Union’s enterprise data platform environment, including Microsoft Fabric workspaces, OneLake architecture, capacity utilization, platform security, governance controls, and overall platform reliability and availability.
  • Design, develop, maintain, and optimize data pipelines and ETL/ELT processes to ingest, transform, reconcile, and deliver data from core banking systems, APIs, and external data sources.
  • Develop and maintain enterprise data models, shared dimensions, and integrated data structures supporting lending, deposits, general ledger, and other business domains while promoting a trusted single source of truth.
  • Support enterprise analytics through the development and maintenance of semantic models, reporting data structures, automation of recurring reporting processes, and enablement of self-service analytics capabilities.
  • Implement monitoring, controls, and data quality processes to identify pipeline failures, anomalies, reconciliation issues, and performance concerns; troubleshoot and resolve discrepancies in a timely manner.
  • Research, evaluate, and implement opportunities to improve data platform performance, scalability, security, and cost efficiency while contributing to future-state data architecture and roadmap planning.
  • Maintain a thorough understanding of and comply with all applicable Credit Union policies, procedures, regulatory requirements, and annual mandatory training, including but not limited to Bank Secrecy Act (BSA), Anti-Money Laundering (AML), OFAC, Cybersecurity, Diversity & Anti-Harassment, and Fair Lending requirements.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or an equivalent combination of education, certifications, and directly related experience.
  • Five or more years of progressively responsible experience in data engineering, data platform administration, analytics engineering, or a related discipline; experience within the financial services industry preferred.
  • Strong interpersonal and communication skills with the ability to collaborate effectively with technical and business stakeholders across multiple departments and translate business requirements into technical solutions.
  • Strong knowledge of Microsoft Azure and Microsoft Fabric technologies.
  • Strong knowledge of data pipeline design, ETL/ELT development, and SQL.
  • Strong knowledge of data modeling, dimensional modeling, and data integration patterns.
  • Strong knowledge of data governance, security controls, and access management practices.
  • Experience with monitoring, troubleshooting, and performance optimization of enterprise data platforms.
  • Knowledge of lending, deposit, and financial data structures preferred.
  • Familiarity with Python, Spark, CI/CD pipelines, and infrastructure-as-code methodologies preferred.
  • Ability to work effectively in a general office and hybrid work environment, including prolonged computer use and occasional extended hours to support implementations, system maintenance, or issue resolution.

Top benefits or perks: Joining Lafayette Federal comes with perks to support you in your personal and professional journey. We provide employees with a generous benefits package including:

  • Employer paid (99.9%) health insurance premium for single and family coverage (HMO Plan)
  • Fully funded deductible (HMO Plan)
  • 401k employer matching contribution
  • Income protection with life insurance, short and long-term disability
  • Paid time off, holiday leave & birthday leave
  • Educational assistance
  • Commuter benefits program and more !

Pay: $61,934 - $72,000 annually (or $29.78 - $34.62/hr) depending on experience and qualifications.


The job posting highlights the most critical responsibilities and requirements of the job. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job.


*Lafayette Federal Credit Union is an Equal Opportunity and E-Verify Employer

*EOE/AA/DISABILITY/VETERAN

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