115 data pipeline engineer jobs at 72 companies in Thorndale, TX
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Data Engineer
Austin or New York or San Francisco or Seattle
$269k-$317k/yrOnsiteFull Time
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience building and operating production data pipelines, modeling messy domains into stable schemas, data quality engineering, extracting structure from unstructured sources, and shipping datasets with SLAs.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOERequires 3+ years of data engineering experience and experience with data modeling, data warehousing, and ETL pipelines. AWS, non-relational databases, and data stores are preferred.
CELUS: AI-powered platform for automating complex electronics design processes.
5+ YOE5+ years data engineering experience building ETL/ingestion pipelines with Databricks/PySpark, SQL, dbt and Snowplow; Bachelor's in CS or related; strong communication and mentoring skills.
Overhaul: Provides real-time supply chain visibility and risk management software.
Experienced data engineer with mastery of Python and SQL, Spark/Databricks, cloud data lake tools, strong data intuition, automation and CI/CD focus, and ownership of streaming data pipelines.
Databricks, Spark, SparkSQL, Python, SQL, Azure Data Lake, Synapse, Fabric, Power BI
Realtor.comNasdaq: NWSA: Online marketplace for buying, selling, and renting homes.
8+ YOE8+ years building data pipelines and platforms; expertise in SQL, data structures, algorithms, and schema design; cloud architecture and data processing experience; bachelor's degree in computer science, engineering, or related field.
United States or San Francisco or New York City or Washington or Austin
$118k-$179k/yrRemoteFull Time
SamsaraNYSE: IOT: Connected Operations Cloud platform for physical operations and IoT.
8+ YOEBachelor's in CS or equivalent, 8+ years as a software/data engineer, 5+ years building production data pipelines and Spark/PySpark experience, strong Python and SQL, cloud data warehouse and ETL tooling experience.
News CorpNasdaq: NWSA: Global media, publishing, and digital information services.
8+ YOERequires 8+ years building data pipelines and platforms, SQL, data structures, schema design, cloud architecture, data processing technologies, automation exposure, and a bachelor's degree in computer science, engineering, or related field.
LPL FinancialNASDAQ: LPLA: Provides wealth management and brokerage services to financial advisors.
7+ YOE2+ Mgmt7+ years data engineering experience, 2+ years technical/people lead experience, bachelor\u0002s in a technical field, hands-on with cloud-native data pipelines, reference data, APIs, and data governance.
7+ YOE2+ Mgmt7+ years data engineering experience, 2+ years technical lead/people leadership, cloud-native data pipeline and API development, experience with reference/master data and data governance, Bachelor's degree required.
Unified: A social network platform for community organizing and activism.
Expertise in Python and SQL, experience with high-volume data pipelines, PostgreSQL and data warehouse systems, workflow orchestration (Airflow/Kafka), ML Ops and containerized deployments; strong engineering and collaboration skills.
McLane: Distributes food and consumer products to retailers and restaurants.
3+ YOEBachelor's degree in a related field, 3–5 years of data engineering experience, SQL and Python expertise, data pipelines, ETL/ELT, cloud platforms, DataOps, CI/CD, orchestration, and automated testing.
University of Texas at Austin: Provides public higher education and conducts academic research.
4+ YOEBachelor's degree in CS/IS/Data Science or related; 4+ years data engineering; Python, SQL, data pipelines; data governance; NoSQL; healthcare data experience preferred.
Python, PySpark, SQL, NoSQL, Apache Spark, Airflow, Git, Microsoft Fabric, Azure Data Factory, Azure Synapse, Google BigQuery, AWS Redshift
GLG (Gerson Lehrman Group): Matches business leaders with experts for specialized professional knowledge.
2+ YOE2–3 years in data operations or data engineering, strong SQL, scripting (Python preferred), data modeling/transformation, data quality, and experience with monitoring and troubleshooting pipelines.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
8+ YOEBachelor's degree or equivalent experience; 12+ years industry experience, 8+ years in data engineering, large-scale cloud platforms, batch and streaming pipelines, data modeling, ML literacy, and LangGraph, AutoGen, Semantic Kernel, or LlamaIndex.
Team Center, Python, Scala, Java, LangGraph, AutoGen, Semantic Kernel, LlamaIndex, LLMs, ML
Contoro Robotics: Builds AI robots for autonomous warehouse trailer unloading.
3+ YOE3+ years building production data pipelines and event-driven analytics; proficiency with Python, Docker, SQL, telemetry, and data quality testing; B.S. in CS/Engineering or equivalent.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and build reliable data interfaces, pipelines, and services in enterprise data warehouse/lakehouse environments; collaborate with finance, IS&T, data science, and engineering teams; learn finance business processes.
Lower: Provides digital mortgage lending and homeownership financial services.
3+ YOE3+ years data engineering experience; strong SQL and Python; experience with Snowflake/Redshift/BigQuery, dbt, ETL pipelines, BI tools (Looker, Domo, Tableau, Power BI); familiarity with APIs, SFTP, and AI-assisted development tools.
Snowflake, dbt, Looker, Domo, Claude Code, Cursor, SQL, Python, Redshift, BigQuery, Tableau, Power BI, GitHub Copilot, SFTP, APIs, CI/CD
Bengaluru or Austin or Lisbon or London or San Francisco
OnsiteFull Time
CloudflareNYSE: NET: Provides security and performance services for internet properties.
5+ YOE5+ years building and operating production data systems; strong programming in Go, Python or JVM languages; deep SQL and data modeling experience; familiarity with ClickHouse and scalable, observable data pipelines; mentoring and cross-team collaboration.