Role Overview
Ampcus, Inc is hiring a Data Intelligence - Lead Data Engineer. This is a contract role in Reston. Part of Ampcus, Inc's Data Engineering hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Data Intelligence - Lead Data Engineer Location: Reston, VA (Remote) Job Summary: The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on leading the development of solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company. Key Responsibilities:
- 20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
- 20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
- 15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
- 15% Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
- 15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
- 10% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
- 5% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Preferred Qualifications
- Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python)., Expert.
- Knowledge and understanding of database design and implementation concepts., Expert.
- Knowledge and understanding of data exchange formats., Expert.
- Knowledge and understanding of data movement concepts, Expert.
- Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert.
- Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert.
- Able to effectively provide direction to and lead technical teams., Expert.
Education
- Bachelor's Degree in Information Technology or Computer Science.
Experience
- 8 years' Experience in leading data engineering and cross functional team to implement scalable and fine tuned ETL/ELT solutions for optimal performance.
- Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling.
Must have Health Care Domain experience. Equivalent Experience:
- In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.
Frequently Asked Questions
How do I apply for the Data Intelligence - Lead Data Engineer position at Ampcus, Inc?
Use the Apply button above to submit your application directly to Ampcus, Inc. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Intelligence - Lead Data Engineer position at Ampcus, Inc located?
This position is based in Reston. Ampcus, Inc has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Intelligence - Lead Data Engineer at Ampcus, Inc earn?
Ampcus, Inc has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Intelligence - Lead Data Engineer role at Ampcus, Inc posted?
This role was posted on April 2, 2026 (67 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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