MidFirst Bank is seeking a mid-level Data Engineer specializing in Microsoft Fabric and Azure to design, build, and support scalable data pipelines and curated data assets for analytics, reporting, and enterprise decision-making. This role is hands-on and focused on moving data from raw source systems into reliable, well-structured tables, views, and models that support Power BI and broader business intelligence needs.
The ideal candidate combines strong engineering fundamentals with practical experience across Microsoft’s cloud data platform, including Azure and Fabric services such as OneLake, Lakehouse, Warehouse, Synapse, ADLS, Data Factory, Purview, and Power BI.
Key responsibilities
- Design, build, and maintain batch and near-real-time data pipelines using Microsoft Fabric and Azure data services
- Ingest data from internal and external source systems into secure, governed enterprise storage and analytics platforms
- Transform raw data into curated tables, views, semantic structures, and reusable data products for reporting and analytics teams.
- Develop and optimize ELT/ETL workflows for reliability, scalability, observability, and cost efficiency.
- Create custom data extracts and support downstream modeling, analytics, and reporting use cases.
- Partner with business and technical stakeholders to understand data needs, define ingestion requirements, and translate them into engineered solutions.
- Troubleshoot data quality, pipeline, schema, and process issues across the data lifecycle.
- Implement and support data security, access controls, and governance requirements across the Azure and Fabric environment.
- Monitor pipeline execution, investigate failures, and drive continuous improvement in performance and supportability
- Document architecture, data flows, lineage, operational procedures, and engineering standards
- Estimate work effort, track progress, and communicate status clearly with teammates and stakeholders.
Required qualifications
- Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
- 3+ years of experience in data engineering, ETL/ELT development, or cloud data platform engineering.
- 3+ years of experience with Microsoft Azure data services such as Azure Data Lake, Synapse, Logic Apps, and Integration Runtime services, or closely related platform capabilities.
- Hands-on experience building solutions in Microsoft Fabric, including one or more of the following: Data Factory, Lakehouse, Warehouse, OneLake, notebooks, or semantic models
- Strong SQL skills and experience with database design, data modeling, and performance tuning.
- Experience developing data transformations using Python, Spark, SQL, or similar data engineering languages and frameworks, along with experience developing Power BI datasets, semantic models, reports, or dashboards
- Strong understanding of dimensional modeling, medallion-style architecture, and analytics-ready data design
- Ability to diagnose and resolve data and process issues independently.
- Strong written and verbal communication skills with the ability to work directly with stakeholders on data requirements.
Preferred qualifications
- Experience supporting Power BI datasets, semantic models, and reporting solutions in an enterprise environment.
- Experience with Azure DevOps or similar tools for version control, deployment, and release management
- Familiarity with Purview, lineage, cataloging, and data governance practices in regulated environments.
- Experience working in financial services, banking, or other highly governed data environments
- Exposure to infrastructure-as-code, CI/CD pipelines, and environment promotion practices
- Working knowledge of role-based security, sensitive data handling, and enterprise access management
Qualifications summary
This role is best suited for a hands-on individual contributor who can engineer reliable pipelines, shape data for analytics consumption, and operate effectively across Microsoft Fabric and Azure. The strongest candidates will bring practical ELT experience, solid SQL and modeling skills, sound troubleshooting ability, and a disciplined approach to security, governance, and stakeholder communication.
* Must reside within the market area to be considered.
*Position requires a minimum of 3 years of relevant US based experience.
#LI-DNI
Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- Bachelor's degree in computer science, engineering, information systems, or related field (or equivalent experience)
- 3+ years experience in data engineering, ETL/ELT development, or cloud data platform engineering
- 3+ years experience with Microsoft Azure data services (Azure Data Lake, Synapse, Logic Apps, Integration Runtime services)
- Hands-on experience building solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, notebooks, semantic models)
- Strong SQL skills, database design, data modeling, and performance tuning
- Experience developing data transformations using Python, Spark, SQL, or similar
- Experience developing Power BI datasets, semantic models, reports, or dashboards
- Strong understanding of dimensional modeling, medallion-style architecture, and analytics-ready data design
- Ability to diagnose and resolve data and process issues independently
- Strong written and verbal communication skills; ability to work with stakeholders on data requirements
- Must reside within the market area to be considered
- Position requires a minimum of 3 years of relevant US based experience
- Experience with Azure DevOps for version control, deployment, and release management
- Familiarity with Purview, lineage, cataloging, and data governance practices
- Experience working in financial services or other highly governed data environments
- Exposure to infrastructure-as-code, CI/CD pipelines, and environment promotion practices
- Working knowledge of role-based security, sensitive data handling, and enterprise access management
MidFirst Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MidFirst Bank and has not been reviewed or approved by MidFirst Bank.
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Healthcare Strength — Health, dental, and vision coverage are available to eligible full‑time and part‑time employees, with company‑paid long‑term disability and an EAP included. Medical plans through Blue Cross Blue Shield and wellness incentives that can lower premiums are highlighted.
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Retirement Support — A company 401(k) match with a clear formula and a defined vesting schedule provides meaningful retirement support. Eligibility and enrollment timing are specified, reinforcing predictable access to the plan.
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Leave & Time Off Breadth — Paid vacation, paid sick leave, and paid holidays are emphasized, with a paid community service day also referenced. Time‑off offerings are portrayed as generous across materials.
MidFirst Bank Insights
What We Do
MidFirst Bank occupies a rare position within the banking industry. With $41.2 billion in assets, MidFirst Bank is the largest privately owned bank in the country. This combination of size and private ownership provides our customers with a special brand of banking. MidFirst Bank offers a full range of personal, commercial, trust, private banking and mortgage banking products and services. MidFirst is a strong commercial real estate lender and a major servicer of mortgage loans nationally. As a private business ourselves, we understand the unique needs of each business community we serve at each of our locations in Arizona (Phoenix), California (Los Angeles, Orange County, Santa Barbara, San Diego), Colorado (Boulder, Denver, Edwards, Fort Collins), Nevada (Las Vegas), Oklahoma (Oklahoma City, Tulsa, Western Oklahoma), Texas (Dallas, Houston, San Antonio) and Utah (Salt Lake City). Additionally, MidFirst Bank has commercial lending offices in Atlanta, Chicago, Nashville, New York City, Orlando, Raleigh and Southern California. We serve Southern California through 1st Century Bank, a division of MidFirst Bank. We also operate MidFirst Business Credit as a subsidiary of MidFirst Bank. MidFirst Bank provides services that compete with larger banks, while the people and culture truly define the MidFirst Bank difference. MidFirst provides exceptional financial and deeply committed customer service. Team members are loyal in their character, loyal in their personal commitment to customers, and loyal to always doing the right thing. MidFirst customers can always count on working with thoughtful, intelligent, honest professionals who are true to their financial goals. MidFirst Bank is a strong supporter of the communities they serve, investing time and money in important educational, charitable and civic organizations. Copyright © 2025 MidFirst Bank. All rights reserved. Member FDIC. Equal Housing Lender.
