Elder Research · 2 days ago
Data Engineer
Arlington, VA
Full-time
Hybrid
Entry, Mid, Senior LevelElder Research is a fast growing consulting firm specializing in predictive analytics. The Data Engineer will work directly with clients and technical staff to develop data-driven solutions, create automated data pipelines, and support advanced analytics and machine learning models.
AnalyticsConsultingDatabaseInformation TechnologyTraining
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design and deploy robust data engineering and ML pipelines using Python, R, and SQL to transform raw data into analytics-ready formats
Develop and maintain end-to-end ML solutions across on-premises and cloud environments, integrating backend systems with user-facing applications
Partner with data scientists, analysts, product managers, and client teams to align technical solutions with business objectives
Modernize and optimize ML workflows by implementing best practices that enhance performance, scalability, and maintainability
Thrive in agile, fast-paced environments by contributing to collaborative development cycles and iterative problem-solving
Translate client and stakeholder needs into actionable technical requirements through effective communication and engagement
Embrace continuous learning, willingly step outside comfort zones, and foster a knowledge-sharing culture within the team
Willing to travel and work on-site with clients as needed, adapting to varying project demands and team environments
Excel in troubleshooting and problem-solving across complex, cross-functional environments with minimal supervision
Leverage diverse data types—quantitative and textual—to drive informed, strategic decision-making
Partner with data scientists and stakeholders to design and deploy impactful data applications and visualizations
Write and refine reusable code in Python, SQL, Java, and other languages through collaborative peer reviews
Build and maintain secure, scalable data pipelines and end-to-end systems, including in air-gapped environments
Lead and contribute across the full engineering lifecycle, from concept through deployment and ongoing support
Produce technical documentation, manage infrastructure, and create tailored presentations for technical and non-technical audiences
Translate business needs into actionable data solutions through clear, consultative communication with clients and teams
Qualification
Required
Must have a IRS Public Trust w/a Full Background Investigation
Undergraduate and/or graduate degrees in engineering, computer science, analytics, math, finance, accounting, management information systems, social sciences, physics, or decision science
Design and deploy robust data engineering and ML pipelines using Python, R, and SQL to transform raw data into analytics-ready formats
Develop and maintain end-to-end ML solutions across on-premises and cloud environments, integrating backend systems with user-facing applications
Partner with data scientists, analysts, product managers, and client teams to align technical solutions with business objectives
Modernize and optimize ML workflows by implementing best practices that enhance performance, scalability, and maintainability
Thrive in agile, fast-paced environments by contributing to collaborative development cycles and iterative problem-solving
Translate client and stakeholder needs into actionable technical requirements through effective communication and engagement
Embrace continuous learning, willingly step outside comfort zones, and foster a knowledge-sharing culture within the team
Willing to travel and work on-site with clients as needed, adapting to varying project demands and team environments
Excel in troubleshooting and problem-solving across complex, cross-functional environments with minimal supervision
Leverage diverse data types—quantitative and textual—to drive informed, strategic decision-making
Partner with data scientists and stakeholders to design and deploy impactful data applications and visualizations
Write and refine reusable code in Python, SQL, Java, and other languages through collaborative peer reviews
Build and maintain secure, scalable data pipelines and end-to-end systems, including in air-gapped environments
Lead and contribute across the full engineering lifecycle, from concept through deployment and ongoing support
Produce technical documentation, manage infrastructure, and create tailored presentations for technical and non-technical audiences
Translate business needs into actionable data solutions through clear, consultative communication with clients and teams
Preferred
Advanced degree (MS) in a relevant field (analytics, math, statistics, computer science, management information systems, social sciences, engineering, physics, decision science, or business, etc.)
Experience using version control (e.g. git, svn, Mercurial) and collaborative programming techniques (e.g. pair programming, code reviews)
Experience with containerization and environment management (venv, conda, etc.)
Experience with one or more technologies, such as R Shiny, Databricks, AWS, Azure
Familiarity with vector, object, and document storage databases
Experience implementing data engineering processes in a remote, austere environment to include using bash
Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.)
Understanding of the data analytics lifecycle (e.g. CRISP-DM)
Benefits
Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies.
By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Company
Elder Research
Elder Research, Inc. is a consulting company in data science, predictive analytics, and text mining.
Founded in 1995
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$3M2025-12-10Acquired
2023-10-16Series Unknown· $3M
Leadership Team
Gerhard Pilcher
CEO
Jeff Deal
Chief Operating Officer
Recent News
Washington Technology
2025-12-11
GlobeNewswire
2025-12-10
Company data provided by crunchbase