Build and maintain scalable ETL/ELT pipelines using Azure Data Factory, Snowflake, dbt, and SQL. Develop data models, transformations, tests, and documentation; ingest data from APIs, databases, files, and enterprise applications; optimize performance; ensure data quality; troubleshoot failures; and support production deployments and monitoring.
This is a remote position.
We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting.
- Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF).
- Build and optimize data solutions using Snowflake as the cloud data warehouse.
- Develop data transformation models using dbt (Data Build Tool).
- Write complex and optimized SQL queries, stored procedures, views, and transformations.
- Develop data pipelines to ingest data from various sources including APIs, databases, files, and enterprise applications.
- Perform data cleansing, transformation, validation, and reconciliation to ensure data quality and accuracy.
- Implement incremental data loads, scheduling, dependency management, and error handling in ADF.
- Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations.
- Build and maintain dbt models, tests, macros, and documentation.
- Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt.
- Work with business analysts, data architects, and other engineering teams to understand data requirements and deliver solutions.
- Support production deployments, monitoring, and ongoing enhancement of data pipelines.
- 4+ years of experience in Data Engineering.
- Strong hands-on experience with:
- Azure Data Factory (ADF)
- Snowflake
- dbt
- Advanced SQL
- Azure Data Factory (ADF)
- Strong understanding of ETL/ELT concepts and data warehousing.
- Experience developing complex data pipelines and data transformations.
- Good understanding of dimensional data modeling, including fact and dimension tables.
- Experience with Snowflake performance optimization and query tuning.
- Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.
- Strong troubleshooting and production support skills.
- Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault.
- Experience integrating data through REST APIs, JSON, CSV, and relational databases.
- Experience with Python or PySpark is a plus.
- Experience with Git and CI/CD using Azure DevOps or similar tools.
- Understanding of data governance, data quality, and security best practices.
- Experience working with large-scale enterprise data platforms.
Similar Jobs
Financial Services
Leads a strategic insights team analyzing product development productivity, operating models, workflows, and AI adoption. Frames hypotheses, conducts quantitative analysis and experiments, evaluates delivery and business outcomes, and translates findings into executive recommendations. Partners with Product Operations, Technology, Product, and Finance to implement actions, track adoption, and measure results. Establishes analytical standards, communicates with senior leaders, and develops a high-performing analytics team.
Top Skills:
Generative AiMachine LearningNatural Language ProcessingPythonSQL
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Architects complex technical configurations and leads enterprise, multi-location implementations of drive-thru and digital menu board technology. Manages rollouts from design through go-live, resolves advanced hardware, software, and networking escalations, and coordinates with corporate IT, Product, Integrations, Sales, and franchise stakeholders. Provides internal QA, mentors peers, improves deployment workflows, and mitigates risks across large enterprise deployments.
Top Skills:
Above-Store ReportingAv HardwareCorporate It SystemsDigital Menu Board SoftwareDigital SignageDrive-Thru TechnologyHotel PmsKiosksNetworkingPos SystemsSaaSThird-Party Integrations
Edtech • Kids + Family • Social Impact • Software
Leads learning design for K-8 digital education content initiatives from brief through launch. Develops instructional frameworks, assessment items, content specifications, quality standards, and grade-band differentiation. Provides feedback and upskills learning designers, partners with product and editorial teams, and contributes to AI-assisted content workflows through prompt design, output evaluation, and quality rubrics. Requires strong assessment writing, curriculum expertise, standards knowledge, initiative leadership, and experience designing for multilingual learners.
Top Skills:
Ai-Assisted Content WorkflowsArtificial IntelligenceCcssCmsEld StandardsNgssPrompt DesignWida
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
