Enterprise Engineer Jobs
Enterprise engineer jobs are open across technology, financial services, healthcare, and manufacturing, from associate to staff and principal levels, with specializations in cloud infrastructure, systems integration, and solution architecture. Find a role that fits below and apply directly.
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INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and cost-efficient data solutions.
This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.
KEY RESPONSIBILITIES
Pipeline Design & Development:
- Design and build robust, reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
- Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
- Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
- Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.
Data Modeling & Warehousing:
- Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
- Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
- Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.
Platform Engineering & DevOps:
- Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
- Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
- Define and enforce coding standards, code review practices, branching strategies, and release management.
Migration & Modernization:
- Lead or contribute to legacy-to-cloud migrations — e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
- Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
- Production incident response for critical pipelines.
REQUIRED QUALIFICATIONS
- Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self-hosted, SSIS).
- Strong Experience in Data Bricks and PySpark.
- Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
- Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
- Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
- Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
- Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning.
- Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest).
- Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.
PREFERRED QUALIFICATIONS
- 5+ years of data warehouse development experience.
- 5+ years of data modeling experience using ERWIN or similar tools.
- 2+ years of experience with Azure Data Factory and Snowflake.
- Medicaid Domain Knowledge is a plus.
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and cost-efficient data solutions.
This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.
KEY RESPONSIBILITIES
Pipeline Design & Development:
- Design and build robust, reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
- Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
- Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
- Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.
Data Modeling & Warehousing:
- Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
- Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
- Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.
Platform Engineering & DevOps:
- Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
- Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
- Define and enforce coding standards, code review practices, branching strategies, and release management.
Migration & Modernization:
- Lead or contribute to legacy-to-cloud migrations — e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
- Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
- Production incident response for critical pipelines.
REQUIRED QUALIFICATIONS
- Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self-hosted, SSIS).
- Strong Experience in Data Bricks and PySpark.
- Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
- Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
- Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
- Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
- Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning.
- Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest).
- Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.
PREFERRED QUALIFICATIONS
- 5+ years of data warehouse development experience.
- 5+ years of data modeling experience using ERWIN or similar tools.
- 2+ years of experience with Azure Data Factory and Snowflake.
- Medicaid Domain Knowledge is a plus.
Enterprise Engineer Jobs by Experience Level
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Find Enterprise Engineer JobsEnterprise Engineer Job Market
Who's Hiring
- Apple25
- Esri21
- Capital One20
- Fortinet16
- Fivetran13
Top Industries Hiring
- Technology & Software72
- Energy12
- Electronics & Hardware8
- Cybersecurity5
- Banking & Financial Services2
What Employers Look For
The qualifications that appear most often in enterprise engineer jobs.
- Five or more years of experience designing and implementing enterprise-scale integration solutions
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud in production environments
- Experience with API management, microservices architecture, and enterprise service bus technologies
- Familiarity with enterprise architecture frameworks such as TOGAF or Zachman
- Bachelor's degree in computer science, information systems, or a related engineering discipline
- Relevant certifications in cloud architecture, integration platforms, or solution design
Tips for Your Enterprise Engineer Job Search
Align your resume to enterprise scale
Enterprise engineer roles are evaluated on the size and complexity of systems you've owned. Quantify the scope of integrations, the number of business units served, or the volume of transactions your architecture handled, not just the technologies you used.
Highlight cross-functional stakeholder experience
Enterprise engineer postings consistently ask for collaboration with product, security, and business operations teams. Calls out specific examples where you translated technical constraints into outcomes non-engineers cared about, since that's what hiring managers screen for at this level.
Apply early to roles that fit
Migrate Mate lists enterprise engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your integration stack
Filter openings by the middleware, ESB, or API gateway tools you know best, such as MuleSoft, Dell Boomi, or Azure Integration Services. Applying where your exact stack appears in the requirements dramatically improves your interview conversion compared to generalist applications.
Prepare a system design narrative for interviews
Most enterprise engineer interviews include a whiteboard or verbal architecture exercise covering a large-scale integration or migration scenario. Practice walking through requirements gathering, component selection, failure modes, and rollback strategy before you get to the room.
Negotiate scope alongside compensation
At the enterprise level, the number of product lines, regions, or compliance frameworks you're responsible for shapes both your workload and your career trajectory. Before accepting an offer, clarify which domains fall under your remit and whether that scope is growing or being consolidated.
Enterprise Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most enterprise engineers?
Apple, Esri, and Capital One are hiring the most enterprise engineers right now, with openings concentrated in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially consistent at large financial institutions, healthcare systems, and technology consultancies managing multi-cloud or legacy modernization programs.
How many enterprise engineer jobs are remote?
About 71% of enterprise engineer openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for experienced candidates who can self-direct across distributed teams. Cloud integration, API platform engineering, and solution architecture sub-specializations tend to have the highest share of remote-eligible postings.
How do you become an enterprise engineer?
Start by building a foundation in software engineering or systems administration, then gain hands-on experience with large-scale integration projects, cloud platforms, and enterprise applications such as ERP or CRM systems. Pursue a certification in a major cloud provider or integration platform to signal depth. Progress by taking on cross-functional projects that require coordinating between business units and IT leadership, since stakeholder management is as central to the role as technical execution.
How do you get an enterprise engineer job with little experience?
Focus on roles titled integration engineer, solutions engineer, or platform engineer, which share the same technical foundations and serve as a common entry point into enterprise work. Build a portfolio of integration or automation projects, even from academic or freelance work, that demonstrate you can connect disparate systems reliably. Certifications in cloud platforms or middleware tools can offset a shorter work history when your hands-on skills are verifiable.
What does the enterprise engineer interview process look like?
Most enterprise engineer interviews follow a multi-stage format: an initial screen with a recruiter or engineering manager, a technical phone or video interview covering systems design and your integration experience, and a final round that often includes a live architecture exercise or case study. Some employers add a stakeholder communication component where you present a past solution to a mixed technical and business audience.
Where can I find and apply to enterprise engineer jobs?
You can find and apply to enterprise engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Find the roles that match your experience and specialization, then apply directly to each listing from the page.
See All 619+ Enterprise Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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