Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.
This is a remote position.
Roles & Responsibilities
- Strong verbal/written communication & facilitation skills. Ability to take a requirement document, work through any ambiguity and follow through to implementation independently
- Strong analytical and problem-solving abilities
- Strong work ethic, sense of ownership and a team player
- Architect and design robust ETL processes using tools like Spark, Airflow, AWS Glue etc. to desired client specifications
- Ability to analyze the data to identify the necessary pre-processing steps for the automated ETL processes
- Solid understanding of SQL using databases like MS SQL Server, Redshift, etc.
- Experience in Cloud Infrastructure (AWS, Azure, GCP)
- Delivering the data pipeline with Quality and automated testing
- Bachelor’s degree in computer science, information technology, or a related field.
- Extensive knowledge of coding languages used to build data pipelines, such as Java, Scala, and/or Python
- Experience with Databricks or Spark
- Hands on experience building data pipelines in AWS using AWS Glue, Redshift, S3 buckets and other relevant technologies.
- Proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW.
- Proven work experience as an ETL developer.
- Experience using Source Code and Version Control systems like Git etc.
- Strong project management skills.
- Ability to analyze a company’s big-picture data needs.
- Clear communication skills.
- Ability to troubleshoot and solve complex technical problems.
- Desire to continually keep up with advancements in data best practices
Similar Jobs
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Define and lead the architecture of NBCUniversal’s greenfield Microsoft Fabric enterprise data platform. Establish lakehouse, warehouse, integration, real-time streaming, data modeling, governance, security, DevOps, and observability standards. Translate architecture and business objectives into delivery roadmaps, epics, stories, and implementation plans while guiding multidisciplinary engineering teams. Design scalable solutions combining operational, historical, master, and reference data to support reporting, analytics, automation, AI, and reusable data products.
Top Skills:
Amazon KinesisAPIsAzure DevopsAzure Event HubsBicepChange Data CaptureCi/CdData FactoryDelta LakeEventhouseEventstreamGithub ActionsKafkaLakehouseAzureMicrosoft FabricNotebooksOnelakePower BIPysparkPythonReal-Time IntelligenceSemantic ModelsSQLTerraformWarehouse
Aerospace • Information Technology • Security • Cybersecurity • Defense
Designs and optimizes enterprise data warehouse solutions, SQL queries, ETL workflows, and Tableau dashboards. Responsibilities include data ingestion, performance tuning, data quality validation, BI governance, documentation, and reporting automation using SQL, Python, and Tableau. The role collaborates with business partners to translate data needs into actionable insights and supports mission-critical analytics applications in a fully remote environment.
Top Skills:
APIsAWSDatabricksEnterprise Data WarehousingETLGitPythonSQLSQL ServerT-SqlTableau DesktopTableau PrepTableau Server
Insurance
Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.
Top Skills:
DatabricksDbtFhirHipaaHl7KafkaSnowflakeX12
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
