Access Search, Inc.
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Access Search, Inc. provided pay range
This range is provided by Access Search, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $200,000.00/yr Additional compensation types
Annual Bonus Direct message the job poster from Access Search, Inc. Looking to hire a Senior Data Engineer to help build and scale our growing Data Lakehouse platform. This role focuses on designing, developing, and optimizing the data systems that power enterprise analytics, decision-making, and operational insight across one of the largest construction companies in the U.S. You’ll work hands-on with Databricks, Azure Data Lake, and modern ELT pipelines, collaborating with engineers, analysts, and business stakeholders to ensure reliable, high-quality data flows through every part of the organization. What You’ll Do Build and maintain scalable ELT data pipelines using Python and SQL. Develop and orchestrate workflows in Databricks and Azure Data Factory. Manage structured and semi-structured data ingestion into Delta Lake architecture. Implement data transformation logic and ensure efficient access for tools like Power BI. Monitor pipeline performance and ensure system reliability and SLA compliance. Collaborate on metadata governance and evolving platform architecture. What We’re Looking For 5+ years of data engineering experience with a focus on modern cloud-native architectures. Strong knowledge of Databricks, Azure Data Lake Storage Gen2, Python, and SQL. Experience with Unity Catalog, GitHub, CI/CD workflows, and Azure cloud tools. Familiarity with data modeling, Delta Lake, and columnar storage concepts. Bonus: Experience with dbt, Atlan, or industry exposure in construction or engineering. Strong problem-solving and communication skills with the ability to work across teams. Why Join: You’ll contribute to a data platform that drives decision-making in one of the most respected names in construction. We offer competitive pay, annual bonuses, full benefits, and flexible hybrid schedules. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering, Information Technology, and Project Management Industries Construction, Building Construction, and Software Development Referrals increase your chances of interviewing at Access Search, Inc. by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified about new Data Engineer jobs in
Chicago, IL . Chicago, IL $69,700 - $120,950 2 weeks ago Chicago, IL $120,000 - $190,000 1 month ago Chicago, IL $140,000 - $190,000 4 days ago Chicago, IL $140,000 - $165,000 1 week ago Chicago, IL $104,500 - $208,300 3 days ago Chicago, IL $62,300 - $122,430 2 weeks ago Chicago, IL $120,000 - $135,000 4 days ago Chicago, IL $80,000 - $100,000 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This range is provided by Access Search, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $200,000.00/yr Additional compensation types
Annual Bonus Direct message the job poster from Access Search, Inc. Looking to hire a Senior Data Engineer to help build and scale our growing Data Lakehouse platform. This role focuses on designing, developing, and optimizing the data systems that power enterprise analytics, decision-making, and operational insight across one of the largest construction companies in the U.S. You’ll work hands-on with Databricks, Azure Data Lake, and modern ELT pipelines, collaborating with engineers, analysts, and business stakeholders to ensure reliable, high-quality data flows through every part of the organization. What You’ll Do Build and maintain scalable ELT data pipelines using Python and SQL. Develop and orchestrate workflows in Databricks and Azure Data Factory. Manage structured and semi-structured data ingestion into Delta Lake architecture. Implement data transformation logic and ensure efficient access for tools like Power BI. Monitor pipeline performance and ensure system reliability and SLA compliance. Collaborate on metadata governance and evolving platform architecture. What We’re Looking For 5+ years of data engineering experience with a focus on modern cloud-native architectures. Strong knowledge of Databricks, Azure Data Lake Storage Gen2, Python, and SQL. Experience with Unity Catalog, GitHub, CI/CD workflows, and Azure cloud tools. Familiarity with data modeling, Delta Lake, and columnar storage concepts. Bonus: Experience with dbt, Atlan, or industry exposure in construction or engineering. Strong problem-solving and communication skills with the ability to work across teams. Why Join: You’ll contribute to a data platform that drives decision-making in one of the most respected names in construction. We offer competitive pay, annual bonuses, full benefits, and flexible hybrid schedules. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering, Information Technology, and Project Management Industries Construction, Building Construction, and Software Development Referrals increase your chances of interviewing at Access Search, Inc. by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified about new Data Engineer jobs in
Chicago, IL . Chicago, IL $69,700 - $120,950 2 weeks ago Chicago, IL $120,000 - $190,000 1 month ago Chicago, IL $140,000 - $190,000 4 days ago Chicago, IL $140,000 - $165,000 1 week ago Chicago, IL $104,500 - $208,300 3 days ago Chicago, IL $62,300 - $122,430 2 weeks ago Chicago, IL $120,000 - $135,000 4 days ago Chicago, IL $80,000 - $100,000 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr