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.
Houston, TX
Live, first seen by us 41 days agoNote: You must be a US Citizen or Permanent US Resident to qualify for this position
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
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.
- 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.
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$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.
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.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
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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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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
Working pattern and location restrictions need checking in the full 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.