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Big Data • Marketing Tech • Sales • Software • Analytics • Big Data Analytics
Own enterprise AI strategy and launch the PureSpectrum AI Academy. Curate an approved AI tool stack, create function-level AI playbooks, manage an active AI project portfolio, partner with engineering to implement API-connected workflows, and drive measurable adoption, automation, efficiency, and ROI across functions while reporting program status to leadership.
Top Skills:
APIsChatgptClaudeContext WindowsGeminiGpt-4OModel/Agent ConfigurationsPrompt EngineeringSystem Prompts
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead day-to-day operations for Short Term Disability and FML claims, managing 60-80 specialists and 4-6 unit managers. Drive operational metrics, quality, service, process and technology improvements, change management, cross-functional partnerships, and full people management including hiring, performance, and development.
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as Product Owner for disability reporting and claims migrations to the Catalyst platform. Define requirements, create features/user stories, manage multiple customer migrations, coordinate cross-functional teams, support testing and validation, identify risks, and ensure successful implementation and post-migration outcomes and stakeholder sign-off.
Top Skills:
CatalystCognosExcelFineosPower BI
Previous experience with a government client is required.
This is a remote position with a federal client who is based in Lanham, MD. Candidates must reside and perform work within the United States.
Position Overview
We are seeking two Senior Databricks Data Engineers to support a large-scale federal Enterprise Data Platform (EDP) modernization initiative. This role will focus on designing, developing, optimizing, and governing cloud-native data solutions utilizing Databricks Lakehouse technologies and Amazon Web Services (AWS).
The ideal candidate possesses extensive experience building enterprise-scale data pipelines, implementing data governance controls, optimizing large-scale data processing workloads, and enabling secure analytics capabilities in cloud environments. This position offers the opportunity to support a mission-critical federal data platform supporting trusted data intake, governed access, and advanced analytics capabilities.
Key Responsibilities
This is a remote position with a federal client who is based in Lanham, MD. Candidates must reside and perform work within the United States.
Position Overview
We are seeking two Senior Databricks Data Engineers to support a large-scale federal Enterprise Data Platform (EDP) modernization initiative. This role will focus on designing, developing, optimizing, and governing cloud-native data solutions utilizing Databricks Lakehouse technologies and Amazon Web Services (AWS).
The ideal candidate possesses extensive experience building enterprise-scale data pipelines, implementing data governance controls, optimizing large-scale data processing workloads, and enabling secure analytics capabilities in cloud environments. This position offers the opportunity to support a mission-critical federal data platform supporting trusted data intake, governed access, and advanced analytics capabilities.
Key Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, and publishing pipelines utilizing Databricks and AWS services.
- Implement and optimize Databricks Lakehouse capabilities including Unity Catalog, Delta Live Tables, Auto Loader, Databricks SQL, and Delta Sharing.
- Build and maintain governed data products supporting operational, analytical, reporting, and machine learning workloads.
- Develop and support medallion architecture data pipelines and enterprise data quality frameworks.
- Implement data governance controls, metadata management, lineage tracking, and data retention policies.
- Collaborate with cloud engineers, architects, cybersecurity specialists, and business stakeholders to deliver secure, production-ready solutions.
- Optimize platform performance through partitioning, clustering, caching, workload tuning, and query optimization techniques.
- Support analytics enablement through semantic layers, dashboards, reporting solutions, and self-service data access capabilities.
- Participate in architecture reviews, operational readiness activities, platform modernization initiatives, and continuous improvement efforts.
- Create and maintain technical documentation, design artifacts, operational procedures, and engineering standards.
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- Minimum eight (8) years of experience in cloud-based data engineering, platform development, or data architecture.
- Minimum three (3) years of hands-on Databricks experience in production environments.
- Experience designing, developing, and supporting large-scale ETL/ELT solutions.
- Strong experience with AWS services including S3, IAM, Glue, Athena, Lambda, Redshift, and CloudWatch.
- Experience implementing enterprise data governance and security controls.
- Strong SQL and Python development skills.
- Experience working with data lakes, data warehouses, and cloud-native analytics platforms.
- Strong troubleshooting, performance tuning, and optimization experience.
- Databricks Certified Data Engineer Associate or Professional certification.
- AWS Data Analytics Specialty certification.
- Experience supporting federal government or highly regulated environments.
- Experience with real-time streaming, CDC solutions, and event-driven architectures.
- Familiarity with FedRAMP, FISMA, and NIST security frameworks.
- Experience supporting large-scale enterprise data platforms.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
