Insight Global logo

Sr. Data Engineer

Insight Global

Garden Grove, CA · HybridFull-timeSeen todaySeen in employer's feed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
Garden Grove, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

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

Job overview

The senior data engineer will build and support Southland’s Microsoft Fabric data environment, focusing on ingestion, ETL/ELT pipelines, and data transformation. The role moves data through Bronze, Silver, and Gold layers, supports databases and deployments, and partners with Power BI resources to deliver reporting-ready datasets. This permanent, hybrid opportunity requires three onsite days per week in Garden Grove, California, or Carrollton, Texas.

Skills & qualifications

RequiredNice to have

Skills

Microsoft FabricETL/ELT PipelinesMedallion ArchitectureSQL/T-SQLAzure Data EnvironmentsData CleansingData TransformationData ValidationData ReconciliationDimensional ModelingTechnical OwnershipPower AutomatePower AppsGit/GitHubSSIS MigrationREST APIsAzure Data FactoryAzure SynapseDatabricksSnowflakePythonPySparkMicrosoft PurviewData GovernanceData LineageAI/ML Data PreparationConstruction DataERP DataProject-Based Data

Qualifications

5+ Years Data Engineering ExperienceMicrosoft Fabric or Azure Certification

Full job description

Job Description

One of Insight Global’s customers is looking for a senior-level data professional to help build and support its growing Microsoft Fabric data environment. This person will be responsible for building and supporting Southland’s Microsoft Fabric data environment, with a focus on data ingestion, ETL/ELT pipelines, and data transformation. They will bring data from multiple source systems into Fabric and move it through Bronze, Silver, and Gold layers using Medallion Architecture, ensuring the data is cleansed, standardized, validated, and ready for reporting. The role will also build and monitor Fabric pipelines, write and optimize SQL/T-SQL queries, support Fabric and SQL Server databases, and manage deployments across development, testing, and production environments. In addition, this person will partner closely with Power BI resources to deliver reliable, business-ready datasets while helping establish data quality, documentation, and pipeline standards as their data platform continues to grow. This is a permanent and hybrid opportunity, working 3 days a week onsite in Garden Grove, CA, or Carrollton, TX.

Skills and Requirements

5+ years of experience working in data engineering, database engineering, or a related data platform role. Strong hands-on experience with Microsoft Fabric, including pipelines, workspaces, warehouses, or lakehouses. Experience building ETL or ELT pipelines and moving data between multiple source systems. Strong understanding of Medallion Architecture, including Bronze, Silver, and Gold data layers. Advanced SQL or T-SQL skills, including querying, stored procedures, data manipulation, and performance tuning. Experience working within an Azure or Microsoft-based data environment. Experience cleansing, transforming, validating, and reconciling data. Understanding of dimensional modeling, fact tables, dimension tables, and reporting-ready datasets. Ability to independently own technical work from design through deployment and production support. Ability to contribute quickly in an environment with limited training and ramp-up time. Familiarity with Power Automate and Power Apps. Experience using Git or GitHub for source control and deployment. Experience supporting separate development, testing, and production environments. Experience migrating SSIS packages or legacy data processes into Microsoft Fabric. Experience ingesting data through REST APIs. Experience with Azure Data Factory, Azure Synapse, Databricks, or Snowflake. Python or PySpark experience for data engineering. Experience with Microsoft Purview or other data governance and lineage tools. Experience preparing data for AI or machine learning initiatives. Experience with construction, ERP, or project-based data from systems such as COINS, Stratus, or Autodesk Construction Cloud. Microsoft Fabric or Azure certifications.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

How this job compares

Set against the 6,271 open Data Engineer jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$150–239K/yr689 salary ranges
  • California median$70–81/hr38 hourly ranges
Openings
Olive Jobs lists 897 open Data Engineer jobs in California and 6,271 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,462 postings).
Education
2,408 of the 6,271 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 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.

Prepare for this role

You've read the whole posting — now see how you match it.