Design, build, and maintain scalable ETL/ELT data pipelines and BigQuery data models. Implement Airflow workflows, CI/CD for deployments, ensure data quality and performance, and collaborate with data scientists, analysts, and business teams to deliver reliable analytics-ready data.
We are looking for a skilled Data Engineer with strong experience in building, optimizing, and maintaining scalable data platforms and pipelines. The ideal candidate will work closely with data scientists, analysts, and business teams to ensure reliable, high-quality data delivery across analytics and reporting use cases.
Key Skills & Technologies- Strong programming experience in Python and SQL
- Hands-on experience with Google Cloud Platform (GCP) services
- Expertise in BigQuery for data warehousing, performance tuning, and cost optimization
- Experience with ETL/ELT frameworks and large-scale data pipeline development
- Workflow orchestration using Apache Airflow
- CI/CD implementation for data pipelines using tools like Git, Jenkins, or Cloud Build
- Solid understanding of data modeling, partitioning, and schema design
- Experience with cloud storage, data validation, and monitoring
- Knowledge of containerization (Docker) and basic DevOps practices is a plus
- Design, develop, and maintain scalable and reliable data pipelines
- Build and optimize ETL/ELT processes to ingest data from multiple sources
- Develop and manage data models in BigQuery to support analytics and reporting
- Implement automated workflows and scheduling using Airflow
- Ensure data quality, integrity, and performance across pipelines
- Collaborate with cross-functional teams to gather requirements and deliver data solutions
- Apply CI/CD best practices to support efficient and reliable deployments
- Troubleshoot and resolve data pipeline and performance issues
Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.
Similar Jobs
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upside s analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills:
AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills:
BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills:
DatabricksKafka
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
