Abt Global · 1 day ago
Data Engineer (Proposal)
Abt Global is dedicated to solving the world’s pressing issues through data-driven innovations. As a Data Engineer, you will design and maintain secure and scalable data pipelines that support analytics and decision-making for federal programs.
Big DataConsultingConsumer ResearchData VisualizationImpact Investing
Responsibilities
Develop, build, and maintain data ingestion, ETL/ELT, and integration pipelines as defined in the data architectures across cloud environments such as Azure GovCloud or AWS GovCloud
Clean, validate, and transform large datasets to support analytics, dashboards, operational reporting, and machine learning workflows
Develop and support API-based integrations for seamless data exchange across internal and external systems
Automate data workflows and monitor day-to-day pipeline operations to ensure performance, reliability, and scalability
Implement best practices and controls for data security, governance, lineage, and compliance within regulated cloud environments
Optimize data flows to support predictive analytics, semantic models, and reporting tools
Collaborate with data scientists, analysts, and cloud engineers to support feature engineering, data modeling, and analytic solution development
Contribute to continuous improvement of engineering standards, documentation, and cloud data operations
Manage pipeline performance, cost optimization and reliability, including monitoring of SLAs and data quality
Qualification
Required
Bachelor's degree with at least nine years, or master's degree with at least seven years in data engineering, ETL development, or database engineering
Strong proficiency in SQL, Python, and cloud-based data engineering practices
Experience building ETL/ELT pipelines using modern orchestration tools and cloud services
Strong understanding of data quality, validation, and monitoring techniques
Familiarity with cloud platforms (Azure, AWS) and security/compliance frameworks in regulated environments
Ability to solve complex problems and collaborate effectively within cross-functional teams
Technical Environment (Experience with One or More is Valued): Cloud Platforms: Azure GovCloud, AWS GovCloud; Data Storage & Processing: Cloud data lakes, lakehouse environments; Databricks, PySpark, Python, SQL; Data Integration & Streaming: Cloud-native ETL/ELT tools, APIs, Kafka/Event Hubs; Analytics Support: Power BI, semantic modeling concepts; Governance: Metadata, lineage, and access control tools (e.g., Collibra, Immuta); Applications & CRM Platforms: Dynamics 365, Salesforce
Preferred
Experience with government, healthcare, benefits, or payments data environments
Exposure to analytical concepts such as anomaly detection, pattern recognition, entity resolution, or risk scoring
Experience supporting ML feature engineering or operational analytics pipelines
Familiarity with federal compliance standards such as FISMA, FedRAMP, or similar frameworks
Experience working within a data lakehouse architecture
Benefits
Comprehensive benefits
Flexible schedules
Professional development
Company
Abt Global
Abt Global is a mission-driven consultancy and research organization.
H1B Sponsorship
Abt Global has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
U.S. International Development Finance Corp
2023-07-05Grant
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