Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Houston, TX 77046, USA
Live, first seen by us 78 days agoArchitect and deliver scalable, high-performance data pipelines and platforms in the cloud
Lead adoption of Lakehouse and Databricks data architectures
Strengthen data integration and governance
Support analytics and AI/ML use cases
Mentor data engineers and analysts to raise engineering standards
responsible for architecting and delivering scalable, high-performance data pipelines and platforms across cloud environments
leads the adoption of modern data architectures such as a Lakehouse and Databricks
strengthens data integration and governance
supports analytics and AI/ML use cases
mentors data engineers and analysts to advance engineering standards and team capability
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 78
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com. We are currently looking for an Lead Analyst Data Engineer for our Houston, TX office. POSITION DESCRIPTION: The Lead Data Engineer is responsible for architecting and delivering scalable, high-performance data pipelines and platforms across cloud environments. This role leads the adoption of modern data architectures such as a Lakehouse and Databricks, strengthens data integration and governance, supports analytics and AI/ML use cases, and mentors data engineers and analysts to advance engineering standards and team capability. REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE: 7–10 years of implementation experience in cloud data architecture, with at least 5 years in AWS environments. Proficiency in AWS services: Glue, Redshift, Athena, Lake Formation, SageMaker, Bedrock, Step Functions. Extensive experience working with Databricks. Working knowledge of the Alation data governance tool. Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL. Experience with databases: SQL Server, Oracle, PostgreSQL, Azure SQL, Teradata. Skilled in Power BI, Git, Visual Studio Code, SSMS. Knowledge of architectural patterns: Medallion architecture, data mesh, Lakehouse, SOA data layers. Excellent communication, collaboration, and leadership abilities. PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE:
PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE: AWS and Databricks certifications. Experience leading cloud migration and data modernization initiatives. Designing and implementing scalable data architectures in AWS and Databricks. Managing data governance, security, and compliance in complex environments. Mentoring junior architects and engineers. Working with cross-functional teams to deliver business value through data. REQUIRED EDUCATION:
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com. We are currently looking for an Lead Analyst Data Engineer for our Houston, TX office. POSITION DESCRIPTION: The Lead Data Engineer is responsible for architecting and delivering scalable, high-performance data pipelines and platforms across cloud environments. This role leads the adoption of modern data architectures such as a Lakehouse and Databricks, strengthens data integration and governance, supports analytics and AI/ML use cases, and mentors data engineers and analysts to advance engineering standards and team capability. REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE: 7–10 years of implementation experience in cloud data architecture, with at least 5 years in AWS environments. Proficiency in AWS services: Glue, Redshift, Athena, Lake Formation, SageMaker, Bedrock, Step Functions. Extensive experience working with Databricks. Working knowledge of the Alation data governance tool. Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL. Experience with databases: SQL Server, Oracle, PostgreSQL, Azure SQL, Teradata. Skilled in Power BI, Git, Visual Studio Code, SSMS. Knowledge of architectural patterns: Medallion architecture, data mesh, Lakehouse, SOA data layers. Excellent communication, collaboration, and leadership abilities.
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Yes. We’ve followed one other Lead Analyst Data Engineer job there since June 2026. It is still up.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Houston, TX 77046, USA
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