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Data Engineer

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Data Engineer designing modern Azure, Fabric, Power BI, and Databricks platforms for Reply’s digital transformation clients. Building scalable pipelines and lakehouse architectures while advising technical and business stakeholders.

Posted 8/21/2026full-timeDetroit • Illinois, Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and cloud data solutions, with a strong focus on Azure Databricks, data ingestion pipelines, and data architecture. Proven ability to communicate effectively with clients and stakeholders while delivering high-quality data solutions that drive business value.

Highest-signal resume keywords
Data EngineeringAzure DatabricksPySparkData GovernanceDevOps for Data

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Ingestion PipelinesSQLPythonSpark SQLDelta LakeData Transformation WorkflowsData ModelingData ArchitectureData WarehousingData Sharing
Soft Skills
Excellent Communication SkillsAbility to Explain Concepts ClearlyQuick Learner
Tools & Technologies
Microsoft AzureAzure Data FactorySynapse Data AnalyticsPower BIAzure SQLAzure Cosmos DBAzure Database for PostgreSQLGitHubDockerAKS
Certifications & Qualifications
Bachelor’s Degree in Computer Science or Related Field
Industry Keywords
Data ManagementData GovernanceMaster Data ManagementIndustry Security RequirementsCloud Data SolutionsData/AI Concepts

Tech Stack

Tools & technologies
ApacheAzureCloudDockerPostgresPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact
  • 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 for analytics and reporting
  • Engineer solutions using 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
  • Contribute to solution architecture
  • Deliver high-quality modern data solutions that drive measurable business value
  • Facilitate design sessions with client stakeholders and present recommendations to leadership teams

Requirements

What you’ll need
  • Bachelor’s degree in computer science 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, including enterprise-level strategy and architecture with Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • DevOps for data, GitHub, automated testing, and working with containers such as AKS, Docker, and registries
  • Excellent communication skills and ability to explain concepts clearly to teammates and customers
  • Ability to quickly learn new concepts and technologies
  • Preferred: experience working directly with clients, business stakeholders, or cross-functional teams in consulting or professional services
  • Preferred: experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
  • Preferred: experience with data management, governance, security, master data management, and industry security requirements
  • Preferred: broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft

Benefits

Comp & perks
  • Benefits are offered
  • Equal opportunity employer
  • Reasonable accommodation during the application or recruiting process for applicants with disabilities