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Data Engineer
Acuity, Inc.
- Reston, Virginia, United States
- Reston, Virginia, United States
À propos
Data Engineer
to design, develop, and maintain scalable data pipelines and integration solutions supporting a federal client. This role builds and optimizes ETL/ELT workflows across the data warehouse, data lake, and analytics platform environment, with strong emphasis on
Databricks, Apache Spark, and AWS .
The Data Engineer delivers reliable, secure, and high‑performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with engineers, architects, and analysts to implement modern data engineering practices across cloud‑based data platforms.
Responsibilities
Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integration workflows
Develop transformations and curated datasets using
Databricks, Apache Spark, and SQL
Support ingestion, processing, and delivery of structured, semi‑structured, and unstructured data
Build and optimize workflows across data lake, data warehouse, and analytics platforms
Implement data quality checks, validation rules, and operational monitoring across pipelines and datasets
Improve performance, reliability, scalability, and security of data processing solutions
Support cloud‑based data engineering solutions in
AWS , including storage and data service integration
Collaborate with engineers, architects, analysts, and stakeholders to implement technical requirements
Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective
Maintain documentation for pipelines, transformations, data flows, and operational procedures
Support code versioning, CI/CD, and controlled deployment of data engineering assets
Troubleshoot pipeline, data, and platform issues across development, test, and production environments
Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent relevant experience
5+ years of experience
developing big data or data engineering solutions in an Agile environment
Hands‑on experience with
Databricks , including
Delta Lake
or lakehouse‑based data engineering
Experience developing and deploying ETL/ELT pipelines using Apache Spark
Strong SQL skills, including complex queries, joins, aggregations, and window functions
Experience with
AWS
and cloud‑based data platform services
Experience with
Python, PySpark, SQL , or similar data engineering languages and frameworks
Experience with code versioning, CI/CD, and configuration management concepts
Experience working in Agile delivery environments, including
Scrum
Ability to troubleshoot and optimize data pipelines for quality, performance, and reliability
Preferred Qualifications
Experience with
Delta Lake
design and optimization
Experience integrating Databricks with Git‑based workflows in controlled network environments
Experience with data quality, lineage, logging, and metadata practices
Experience supporting advanced analytics or machine learning data pipelines
Experience tuning performance in distributed data processing environments
Clearance Requirement
Must be a
U.S. Citizen
with the ability to obtain and maintain
U.S. suitability
Benefits
Competitive compensation with health, dental, and vision coverage including a 401(k) with company match
8 + year recognition as a Best Places to Work, Washington Business Journal; 2022‑2025 Top Workplace, Washington Post
Up to $3,000 annually for training and certifications and $3,000 for degree‑seeking programs
Equal Opportunity Statement Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Compétences linguistiques
- English
Avis aux utilisateurs
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