Senior Data Engineer

Overview

Acuity, Inc. seeks a  Senior Data Engineer  to lead the design, development, and optimization of modern data pipelines and analytics solutions supporting a federal client. This role builds and maintains robust data integration, ETL/ELT, and analytic processing capabilities across the data warehouse, data lake, and analytics platform environment. 

The Senior Data Engineer provides hands-on technical leadership across data engineering, platform design, and advanced analytics enablement. This individual drives data quality, performance, scalability, security, and operational reliability while supporting adoption of new data technologies and delivery of Big Data, Advanced Analytics, and Machine Learning solutions. 

Why Acuity? 

We’re building more than careers—we’re building a place people genuinely love to work. At Acuity, you’ll get:

• Strong work-life balance and a people-first culture• Competitive compensation + Health/Dental/Vision coverage• 401(k) with company match• Up to $6,000/year for training & professional development

Recognized as a Best Places to Work (Washington Business Journal, 8+ years) Named a Top Workplace by The Washington Post (2022–2025)

Ready to grow with a team that invests in you? Learn more:

Why Acuity?

Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.

Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions
• Build and optimize data workflows across data warehouse, data lake, and analytics platforms
• Lead ingestion, transformation, curation, and delivery of structured, semi-structured, and unstructured data
• Implement data quality checks, validation rules, and monitoring across pipelines and datasets
• Improve performance, scalability, reliability, and security of data processing solutions
• Develop reusable engineering patterns, frameworks, and best practices
• Support cloud-based data platform development, with strong emphasis on  Databricks and related cloud services
• Collaborate with engineers, analysts, architects, and stakeholders to translate requirements into technical solutions
• Support design and delivery of  Big Data, Advanced Analytics, and Machine Learning use cases
• Provide technical leadership through code reviews, troubleshooting, standards development, and mentoring
• Evaluate and apply new data technologies that improve capability, efficiency, or maintainability
• Maintain technical documentation for pipelines, transformations, data flows, and engineering standards

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 8+ years of experience developing and coding software or data engineering solutions
• Strong hands-on experience with  Databricks and cloud-based data technologies
• Strong experience building and maintaining large-scale  ETL/ELT pipelines and data integration solutions
• Experience supporting data warehouse, data lake, and analytics platform architectures
• Strong programming skills in  Python, Scala, SQL , or similar data engineering languages
• Experience optimizing data workflows for performance, reliability, and scalability
• Experience implementing data quality, security, and operational controls in production environments
• Ability to support advanced analytics and machine learning delivery from a data engineering perspective
• Strong problem-solving skills and ability to work effectively across cross-functional technical teams

Preferred Qualifications  

• Experience with distributed data processing frameworks such as  Apache Spark
• Experience supporting  Big Data and  Advanced Analytics platforms in cloud environments
• Experience enabling or supporting  Machine Learning workflows and feature or training data pipelines
• Experience with  CI/CD, automation, and deployment practices for data platforms
• Experience with cloud-native data services in  AWS or similar environments
• Experience mentoring engineers and establishing engineering standards

Preferred Certifications  

• AWS Certified Machine Learning – Specialty
• Data Science Council of America (DASCA) certifications
• Databricks Certified Machine Learning Associate
• Databricks Certified Developer for Apache Spark
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• AWS Certified Data Analytics – Specialty
• Python or Scala programming certification

Clearance Requirement  

• Must be a  U.S. Citizen with the ability to obtain and maintain  U.S. suitability

About Acuity

At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.

Why You’ll Love Working Here:

Grow Your Career, Your Way We invest in you with personalized development plans, mentorship, and up to $6,000 annually for training and certifications—so you can keep building the career you want.

Be Part of Something Innovative You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.

Thrive in a People-First Culture Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.

Feel Valued and Rewarded We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home.

Join an Award-Winning Team Our employees consistently rank us among the best—earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022–2025).

Bring Your Whole Self to Work We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.

Make Your Impact

Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.

Learn more:

Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Recruiting Scams and Fraud

Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.

Please note:

• Acuity never asks candidates to pay for job applications, equipment, or training.
• All official communications will come from an @myacuity.com email address.
• If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page .

If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at View email address on click.appcast.io . Protecting your security and trust is important to us.