Senior Data Engineer — Data Warehouse & Analytics

Blattner Company; United States; On-site; USD 101,000 - 146,000; Full time

Benefits offered by this job

HDHP insurance

401(k) with company match

HSA and FSA options

Dental and Vision insurance

Tuition assistance

Work/Life balance

Gym on site

Job summary

Blattner Company seeks a Senior Data Engineer to design and optimize data warehouse solutions enabling business intelligence and analytics initiatives. You will architect data warehouse designs, ensure data integrity, and support analytics with performant ETL/ELT processes and dashboards.

The role demands hands-on SQL optimization, MS SQL and Azure Data Factory expertise, and collaboration with IT peers and business partners in an agile environment.

Qualifications

• Bachelor's degree in a technology area; CS/MIS/Analytics preferred.
• 5–8 years of database development with data warehouse focus.
• Proficiency in ETL workflows, data cleansing and loading strategies.
• Experience with data dictionaries, data analysis and relational databases.
• Strong SQL optimization skills and ability to interpret execution plans.

Responsibilities

• Design, implement and optimize data warehouse solutions for BI and analytics.
• Develop ETL/ELT processes to move data to staging and warehouse areas.
• Build reports and dashboards using BI tools (Power BI, Tableau).
• Provide technical SME guidance for data and analytics initiatives.
• Support production and perform data quality audits and controls.

Skills

Data warehousing

ETL/ELT design

SQL performance tuning

Power BI

Education

Bachelor's degree in Computer Science or related field

Tools

MS SQL

Azure Data Factory

Power BI

Tableau

Job description

Blattner Company seeks a Senior Data Engineer to design and optimize data warehouse solutions enabling business intelligence and analytics initiatives. You will architect data warehouse designs, ensure data integrity, and support analytics with performant ETL/ELT processes and dashboards.

The role demands hands-on SQL optimization, MS SQL and Azure Data Factory expertise, and collaboration with IT peers and business partners in an agile environment.