3,251 data engineer lead jobs at 1,358 companies in United States
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Lead Data Engineer
Tampa, Florida, United States
OnsiteFull Time
Ascension Federal Services: N/A
10+ YOE5+ MgmtLead data engineer with 10+ years of experience in data engineering, data modeling, ETL, data warehousing, and cloud platforms; strong leadership and communication skills.
SCA HealthNYSE: UNH: Operator of ambulatory surgery centers and specialty practice clinics.
8+ YOESenior data engineering leader with 8+ years in data engineering, data platform development, and leading data initiatives. Proficient in Azure data stack, modern data tools, and cloud transformation.
Bayview Asset Management: Investment management firm specializing in credit and mortgage assets.
5+ YOE5-8+ years in data engineering; hands-on with ETL/ELT, data pipelines, and cloud data platforms; strong SQL and programming; experience leading teams; excellent communication and architecture skills.
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
6+ YOE2+ MgmtLead data engineering role requiring 6-8 years of experience, Databricks stack, SQL, Python, PySpark, data warehousing, Airflow, cloud platforms, and leadership responsibilities.
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
8+ YOE8+ years data engineering; 2+ years in lead role; medallion lakehouse; Spark/PySpark on Azure Databricks; real-time IoT pipelines; Kafka/Event Hub; cloud data lakes/warehouses; GenAI pipelines; MLOps; CI/CD with GitHub Actions.
APC Postal Logistics: Dynamic international delivery and technology solutions provider.
8+ YOE8+ years in data engineering or analytics; scalable data warehouse; advanced SQL; Python; large-scale data; reliability and cost focus; logistics domain preferred.
SQL, Python, ETL/ELT, Data Warehousing, Data Modeling, Data Quality, Data Pipelines
LendingClubNYSE: LC: Digital marketplace bank providing personal loans and banking services.
8+ YOE2+ Mgmt8+ years data engineering experience with 2+ years technical lead experience; strong SQL, data modeling, ETL, orchestration, Spark, AWS, modern data platforms, and experience applying AI tools to engineering workflows.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOELead data engineer with 4+ years in app development, 2+ years in big data, 1+ year cloud experience; strong programming in Java/Scala/Python; Snowflake data warehousing; GenAI/AI tooling experience preferred.
UFS: Provides technology infrastructure and managed services for community banks.
8+ YOE8+ years data engineering with end-to-end ingestion-to-serving ownership, 2+ years lead experience, strong Python and SQL, lakehouse and CDC experience, data modeling, security and governance knowledge.
NikeNYSE: NKE: Designs and sells athletic footwear, apparel, and equipment.
8+ YOE8+ years data engineering experience with Databricks, PySpark, SQL, Apache Spark and AWS; experience leading teams, CI/CD, data modeling, real-time frameworks; Bachelor's degree or equivalent required.
MastercardNYSE: MA: Global payment processing and financial technology service provider.
5+ YOEStrong Python and SQL, Snowflake data modeling, ETL pipelines, Power BI, CI/CD, cloud environments (Azure, Snowflake), data quality and governance.
Snowflake, Python, SQL, Power BI, Jenkins, GitLab, Git, Azure, JavaScript
VistraNYSE: VST: Operates power plants and provides retail electricity services.
7+ YOE7+ years in data engineering with expertise in ETL, data warehousing, databases, big data technologies, data governance, and leadership of engineering teams.
GenpactNYSE: G: Provides business process management and digital transformation services.
Lead and mentor data engineers; design scalable data pipelines and ETL; ensure data quality, integrity, and security; collaborate with stakeholders; perform data analysis and troubleshooting.
Databricks, Snowflake, Microsoft Azure, Oracle Database 12c, Riversand, Apache Spark
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years of applied data engineering experience, strong software engineering and SQL skills, cloud data platform expertise, distributed processing, data modeling, Airflow, and validated enterprise AI use.
Apache Airflow, SQL, Python, PySpark, AWS, Google Cloud, Azure
AIR Communities: Owns and operates residential apartment communities across the US.
12+ YOEBachelor's or equivalent experience, 12+ years in data/related engineering (8+ focused on data engineering), advanced SQL/Python, cloud data platform and pipeline experience, data governance, version control and CI/CD experience, leadership skills.
Inspire Brands: Operates a global portfolio of multi-brand restaurant chains.
8+ YOE8+ years data engineering experience, strong SQL and ELT skills, Python, cloud (Azure preferred), CI/CD and DevOps, Airflow orchestration, AI/LLM experience (Azure OpenAI, Copilot), and ability to lead technical teams.
Python, SQL, Snowflake, Azure, AWS, GCP, ADLS, Blob, Informatica, Talend, Azure Data Factory, Tableau, Apache Airflow, GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI
Indiana University: Public university providing higher education and academic research.
5+ YOEBachelor's degree in CS/Information Science or related, 5+ years data engineering/management experience, strong communication, experience with modern data architectures and AI/LLM integrations preferred.
HuntingtonNASDAQ: HBAN: Provides regional commercial, consumer, and mortgage banking services.
7+ YOEBachelor's degree or relevant experience, 7+ years in data management and data engineering, database programming, advanced analytics, pipelines, data quality, and team leadership.
AWS Glue, Landa, Amazon Athena, AWS, BI software, DevOps, version control, Agile
Lutron Electronics: Designs and manufactures lighting and shading control systems.
8+ YOERequired bachelor’s or master’s in CS/Data Science/Computer Engineering/Software Engineering, 8+ years related experience, expertise in data modeling, real-time/batch processing, cloud architectures, and SQL.