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Principal Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
US citizens onlyNote: You must be a US Citizen or Permanent US Resident to qualify for this position

What you’ll work on

Full posting
  • Architect and implement scalable Azure-based data lake solutions

  • Lead development of Databricks Delta Live Tables and Structured Streaming pipelines

  • Oversee Unity Catalog governance, lineage, and metadata management

  • Monitor pipeline performance and resolve production issues

  • Mentor and develop a high-performing data engineering team

From the employer’s posting
Architect, design, and implement scalable Azure-based data lake solutions.
Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming.
Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
Monitor data pipeline performance and proactively resolve production issues.
Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies.
Education & alternatives
- Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience:- Bachelor’s or Master’s degree in IT or a related discipline. - 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions.

Posting record

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Status in our records
Live
First seen by us
Sep 28, 202641 days ago
Recorded sightings
31
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,159 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 41

Similar jobs usually come down between day 6 and day 54.

From 11,573 similar postings that came down. Coming down is not always a hire.

Engineersandconstructorsinternationalinc is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Scala
  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Hadoop
  • Kafka
  • Power BI
  • Spark
Where the posting names them
Technical Skills:- Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. - Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. - Experience in designing and developing scalable ETL pipelines and optimizing data workflows.
Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities:- Architect, design, and implement scalable Azure-based data lake solutions. - Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog.
- Translate technical challenges into actionable insights for executive teams. - Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. - Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies.
- Proven track record in building data lake architectures and optimizing performance in big data environments. - Certification in Azure Data Engineering or Databricks (preferred). Technical Skills:- Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics.
- Certification in Azure Data Engineering or Databricks (preferred). Technical Skills:- Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. - Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL.
About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities:- Architect, design, and implement scalable Azure-based data lake solutions. - Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. - Provide technical leadership, ensuring adherence to best practices and quality standards.
- Provide technical leadership, ensuring adherence to best practices and quality standards. - Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. - Optimize Databricks resources for high-volume data processing without exceeding budget.
- Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. - Optimize Databricks resources for high-volume data processing without exceeding budget. - Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
- Optimize Databricks resources for high-volume data processing without exceeding budget. - Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. - Develop and enforce robust data governance policies, ensuring compliance, security, and data quality.
- Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have:- Familiarity with big data tools like Hadoop, Kafka, and Spark. - Experience with visualization tools such as PowerBI or QlikSense.
Nice to Have:- Familiarity with big data tools like Hadoop, Kafka, and Spark. - Experience with visualization tools such as PowerBI or QlikSense. - Knowledge of AI/ML, NLP, and GenAI concepts.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,312, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer.  This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026.  Note: You must be a US Citizen or Permanent US Resident to qualify for this position. 


About the Role
We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success.
Key Responsibilities:
  • Architect, design, and implement scalable Azure-based data lake solutions.
  • Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog.
  • Provide technical leadership, ensuring adherence to best practices and quality standards.
  • Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming.
  • Optimize Databricks resources for high-volume data processing without exceeding budget.
  • Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management.
  • Develop and enforce robust data governance policies, ensuring compliance, security, and data quality.
  • Monitor data pipeline performance and proactively resolve production issues.
  • Collaborate with cross-functional teams to align project objectives with business goals.
  • Translate technical challenges into actionable insights for executive teams.
  • Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies.
  • Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies.

Education and Experience:
  • Bachelor’s or Master’s degree in IT or a related discipline.
  • 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions.
  • Proven track record in building data lake architectures and optimizing performance in big data environments.
  • Certification in Azure Data Engineering or Databricks (preferred).

 Technical Skills:
  • Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics.
  • Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL.
  • Experience in designing and developing scalable ETL pipelines and optimizing data workflows.
  • Deep understanding of data migration from on-premises to cloud, cloud to cloud.
  
Leadership and Soft Skills:
  • Proven ability to lead diverse teams and manage end-to-end analytics projects.
  • Exceptional communication and collaboration skills for engaging executives and stakeholders.
  • Strong sense of ownership, accountability, adaptability, and commitment to results.
  • Expertise in identifying risks and implementing effective mitigation strategies.
 
 Nice to Have:
  • Familiarity with big data tools like Hadoop, Kafka, and Spark.
  • Experience with visualization tools such as PowerBI or QlikSense.
  • Knowledge of AI/ML, NLP, and GenAI concepts.
  • Familiarity with AGILE and KANBAN methodologies.

Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments
Program:
Project: T&S Future Freight Platform – Jigsaw
Description:
Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes.
The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap.
Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following:
    • An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase
    • Optimize business processes and define master data maintenance processes
    • Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required,
    • What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner,
    • Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting.
    • Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP
    • Develop a data platform solution to ingest, host and distribute data between multiple integration points

Business Application:
RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr| Data Modelling, Data Engineering, Data Integration

Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.
 
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Pay

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Location & working pattern

Houston, TX

Working pattern and location restrictions need checking in the full posting.

Work authorization
Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities:- Architect, design, and implement scalable Azure-based data lake solutions.

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