Mid Level Cloud Data Engineer Jobs
Mid level cloud data engineer jobs go to engineers ready to own pipelines end to end, make architectural decisions independently, and guide junior teammates without waiting for direction. Openings run across Technology & Software, Banking & Financial Services, and Agriculture & Farming, with 43% remote or hybrid flexibility, and employers like Adobe, Google, and Shift4 hiring at this level now.
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This Product Owner will be working directly with Senior Leadership within our Marketing Team, executing client-facing email marketing campaigns.
- Provides direction to the team and stakeholders based on product vision and strategic goals
- Integrates diverse perspectives into the product development process
- Collaborates and negotiates trade-offs and priorities with Product Manager and stakeholders to create and manage the Epic backlog and ensure alignment with business objectives
- Keeps teams informed on progress, deployment timelines, and updates
- Writes epics that articulate clear, incremental business value
- Owns prioritization of the story backlog
- Approves stories and acceptance criteria based on requirements for development readiness
- Completes User Acceptance Testing to progress stories in the deployment process
- Communicates comprehensive progress to stakeholders throughout the development cycle
- Creates and maintains the current and future-state business processes and user workflows
- Serves as key translator and advocate between business and technology teams
- Leads stakeholder demos, including capturing feedback and facilitating discussion
- Analyzes team interactions to identify barriers to collaboration and promotes solutions that enhance communication, efficiency, project outcomes, and team dynamics
- Integrates user research and market analysis into the product development lifecycle
- 4+ years of experience in IT as Product Owner or Business Analyst
- 2+ years of experience working within Salesforce platform
- Strong organizational skills and attention to detail
- Proficient in Agile methodologies for all roles
- Experience using Jira or similar work tracking platform
- Advanced listening and facilitation abilities
- Strong written and verbal communication skills
- Ability to work 100% on-site in Pontiac, Michigan
Nice to Have:
- Bachelor’s degree in computer science, Business, or related field
- Advanced Agile certification and/or scaling certification
- Hands-on experience in Salesforce Data Cloud
- Hands-on experience in Salesforce Marketing Cloud
It’s no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It’s at the very heart of how we treat each other, our clients and our community. Whether it’s providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life.
From the team member that holds a door open to the one that helps guide your career, you’ll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you’ll be welcomed here. Accepted here. And empowered to Be You Here.
More reasons you’ll love working here include:
- Paid Time Off (PTO) after just 30 days
- Additional parental and maternity leave benefits after 12 months
- Adoption reimbursement program
- Paid volunteer hours
- Paid training and career development
- Medical, dental, vision and life insurance
- 401k with employer match
- Mortgage discount and area business discounts
- Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court
- Wellness area, including an in-house primary-care physician’s office, full-time massage therapist and hair salon
- Gourmet cafeteria featuring homemade breakfast and lunch
- Convenience store featuring healthy grab-and-go snacks
- In-house Starbucks and Dunkin
- Indoor/outdoor café with Wi-Fi
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Find JobsMid Level Cloud Data Engineer Job Market
Who's Hiring
- Adobe2
- Google2
- Shift42
- U.S. Bank2
- Simplot Company2
Top Industries Hiring
- Technology & Software12
- Banking & Financial Services6
- Agriculture & Farming2
- Artificial Intelligence2
- Insurance1
Mid Level Cloud Data Engineer Jobs: Frequently Asked Questions
How do I get a mid level cloud data engineer job?
Position your experience around ownership, not just contribution. Highlight projects where you designed or led a data pipeline, chose a cloud tool for a specific reason, or resolved a production issue independently. Recruiters at this level want to see that you can work without close supervision, so frame your resume around outcomes and decisions, not tasks completed.
Which companies hire mid level cloud data engineers?
Companies hiring mid level cloud data engineers right now include Adobe, Google, and Shift4, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers a wide range of employers, from large technology firms and financial institutions to fast-growing startups that need engineers who can take ownership quickly without needing heavy onboarding support.
Are there remote mid level cloud data engineer jobs?
Yes, remote and hybrid options are common at this level. About 43% of mid level cloud data engineer openings are remote or hybrid as of July 2026, reflecting how cloud-native work naturally supports distributed teams. If you prefer on-site or have a specific metro in mind, filtering by location on Migrate Mate will show what is available near you.
How do I move up to a mid level cloud data engineer role?
Growth into mid level comes from deepening both technical and ownership skills over time. Build fluency in at least one major cloud platform, take on projects where you design a solution rather than execute someone else's plan, and document the measurable impact of your work. Demonstrating that you can handle ambiguity and mentor others signals readiness for mid level responsibilities.
Which industries hire the most mid level cloud data engineers?
Mid Level cloud data engineer roles concentrate in Technology & Software, Banking & Financial Services, and Agriculture & Farming, based on current listings on Migrate Mate as of July 2026. These sectors generate high volumes of structured and unstructured data that require experienced engineers who can build reliable, scalable pipelines and contribute to data architecture decisions without constant oversight.