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Lead Analyst Data Engineer

Boardwalk Pipeline Partners

Houston, TXJobSeen 2mo agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
Houston, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

Boardwalk Pipeline Partners is seeking a Lead Data Engineer for its Houston office to architect and deliver scalable, high-performance data pipelines and platforms across cloud environments. The role advances Lakehouse and Databricks architectures, data integration and governance, and analytics and AI/ML use cases. It also mentors data engineers and analysts and strengthens engineering standards and team capability.

Skills & qualifications

RequiredNice to have

Skills

Cloud Data Architecture, requiredAWS, requiredAWS Glue, requiredAmazon Redshift, requiredAmazon Athena, requiredAWS Lake Formation, requiredAmazon SageMaker, requiredAmazon Bedrock, requiredAWS Step Functions, requiredDatabricks, requiredAlation, requiredSQL, requiredT-SQL, requiredPython, requiredPySpark, requiredPandas, requiredDAX, requiredPower Query M, requiredPL/SQL, requiredSQL Server, requiredOracle, requiredPostgreSQL, requiredAzure SQL, requiredTeradata, requiredPower BI, requiredGit, requiredVisual Studio Code, requiredSSMS, requiredMedallion Architecture, requiredData Mesh, requiredLakehouse Architecture, requiredSOA Data Layers, requiredCommunication, requiredCollaboration, requiredLeadership, requiredAWS Certification, nice to haveDatabricks Certification, nice to haveCloud Migration, nice to haveData Modernization, nice to haveScalable Data Architecture, nice to have

Qualifications

7+ Years Implementation Experience, required5+ Years AWS Experience, requiredBachelor's in Computer Science, Data Science, Engineering or Related Field, requiredMaster's Degree, nice to have

Full job description

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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:

  • 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:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

PREFERRED EDUCATION:

  • Master’s Degree

ADDITIONAL INFORMATION:

Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.

Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

How this job compares

Set against the 2,958 open Data Engineering jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This postingNot listed
  • Texas median$115–202K/yr143 salary ranges
  • US median$46–52/hr101 hourly ranges
Openings
Olive Jobs lists 218 open Data Engineering jobs in Texas and 2,958 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 7 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,528 postings).
Education
This posting asks for a bachelor's degree; 1,177 of the 2,958 open Data Engineering jobs (40%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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