EpochGeo is looking for a mid-Senior level Data Engineer to support one of the most exciting and growing automated analytic projects in the national security space.
Are you a Data Engineer who loves to work with data, build pipelines, and deliver data products that empower actionable intelligence? Are you a software engineer who enjoys working with data infrastructure, both cloud-based and on-premise? If so, please reach out to us at EpochGeo to chat.
Location-based big data can be overwhelming, inaccessible, and noisy. EpochGeo is a data services firm specializing in supporting the full spectrum data cycle: beginning with scalable data storage and ending in producing impactful analytics. Our developers, analysts, and data scientists have a proven track record applying open-source innovative technology, data science, and actionable analytics to inform customers’ data driven decisions. As a Data Engineer on our team, you will have the opportunity to enable our data professionals to meet our customers’ mission requirements.
Job Overview: We are seeking a highly skilled Senior Data Engineer to design, implement, and operate advanced data management systems to meet intelligence and analytical needs. The ideal candidate will have extensive experience in developing data architectures, optimizing data pipelines, and ensuring efficient data storage, access, and integration across different digital systems. This role will involve working closely with data users to determine the best strategies for managing large datasets and ensuring the system's performance aligns with the organization's objectives.
Primary Duties and Responsibilities:
- Develop and implement robust data management systems that meet intelligence and organizational needs, ensuring efficient data storage, access, integration, and usage across various data regimes and digital platforms.
- Collaborate with data users to design optimal data architectures, structures, and systems that align with operational requirements. This includes designing how data is stored, retrieved, and utilized within the organization's infrastructure.
- Plan, design, and optimize data pipelines to ensure high data throughput and efficient query performance, enabling rapid and reliable access to critical data.
- Participate in the evaluation and selection of backend database technologies (e.g., SQL, NoSQL, HPC), ensuring the chosen solutions support the organization's data needs and the nature of data queries.
- Manage the full data pipeline infrastructure, including Extract, Transform, Load (ETL) processes, ensuring the pipeline supports the content, volume, and periodicity of the data; Continuously optimize data flow and system performance to meet the analytical and query needs of users.
- Ensure seamless data integration and management across various systems, enabling the organization to leverage diverse datasets for intelligence analysis and decision-making.
Qualifications:
- 5-10+ years of experience and a Masters Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field or equivalent experience.
- Proven experience in designing and implementing data architectures and management systems
- Expertise in database technologies, including SQL, NoSQL, HPC, and experience in selecting and configuring these technologies to optimize data systems
- Strong understanding of ETL processes and data pipeline management
- Experience in optimizing data throughput, query performance, and system responsiveness to support complex data queries and analyses
- Excellent problem-solving skills and the ability to work collaboratively with data users and other stakeholders to meet organizational goals
Additional:
- Must hold a TS/SCI clearance and be willing to submit for a CI Poly
Benefits Include:
- 100% health care premiums covered, FSA, HSA
- 401k: 6% match, immediate vesting
- 14 holidays: All 11 Federal holidays, day after Thanksgiving, 24 DEC, 31 DEC
- PTO: 4 weeks annually
- 3 week sabbatical every 3 years with the company
Job Type: Full-time
Pay: $130,000.00 - $175,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Tuition reimbursement
- Vision insurance
Compensation Package:
- Bonus opportunities
- Profit sharing
Schedule:
- 8 hour shift
- Monday to Friday
Security clearance:
Ability to Commute:
- Reston, VA 20191 (Required)
Ability to Relocate:
- Reston, VA 20191: Relocate before starting work (Required)
Work Location: In person