• Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data.

• Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets.

• Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture.

• Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices.

• Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control.

• Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning.

• Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins.

• Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs.

• Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows.

• Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic.

• Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams.

• 2+ years of experience in data engineering and Agile analytics
• 2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
• 1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics
• 1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks
• Experience with data quality, validation frameworks, and storage optimization strategies
• BA or BS degree

Clearance Requirement:

• Must be US Citizen with an ability to obtain and maintain US 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: www.myacuity.com

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 careers@myacuity.com. Protecting your security and trust is important to us.

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