Data Engineer
Company websitereply.com (Reply, opens in new tab)
Base salary $130K to $150K
Employer-published annual base salary, USD. Advertised base range in Detroit Area, MI +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationDetroit Area, MI +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- Detroit Area, MI
- Chicago, IL
About this job
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills — someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
• Work directly with clients to understand business goals, data challenges, and technical requirements
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
• Bachelor’s degree in Computer Science; Engineering or related field.
• 6+ years of experience in data engineering, data platform development, or cloud data solutions
• 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
• Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
• Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
• DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
• Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
• Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
• Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
• Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
• Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
Source: Reply on Lever · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 18% of the 3,551 Data & ML roles nationwide listed on this site; 35 others list the same floor. Their median floor is $170,000; the middle half runs from $137,400 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.
This listingData Engineer$130K to $150K
Senior Data Platform Engineer$135K to $155K
SAP MM/Purchasing Consultant$125K to $165K
Product Owner – Identity & Access Management (IAM)$135K to $155K
Sr. SAP FICO Consultant$125K to $165K
Lead Software Engineer$140K to $180K
Senior AI Engineer$140K to $180K
Chart as a table
| Role | Published base |
|---|---|
| Data Engineer (this listing) | $130K - $150K |
| Senior Data Platform Engineer | $135K - $155K |
| SAP MM/Purchasing Consultant | $125K - $165K |
| Product Owner – Identity & Access Management (IAM) | $135K - $155K |
| Sr. SAP FICO Consultant | $125K - $165K |
| Lead Software Engineer | $140K - $180K |
| Senior AI Engineer | $140K - $180K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-21
Where this pay comes from
Location as the employer wrote it: Detroit Area, Michigan • Chicago, Illinois
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
