Senior Data Engineer
West Monroe23 days ago
Chicago, IL, USA +7 moreSenior
Base Salary
$120k - $162k/yr
Responsibilities
- Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related technologies.
- Architect and deliver data platforms across AWS, Azure, and Google Cloud Platform to support analytics, AI, and business intelligence initiatives.
- Build scalable batch and streaming data pipelines for enterprise analytics, operational reporting, and AI-enabled applications.
- Design and implement lakehouse and data warehouse architectures focused on accessibility, governance, and performance.
- Gather client requirements, translate business needs into technical solutions, and deliver data engineering outcomes.
- Develop ELT/ETL processes, data models, orchestration workflows, and data quality frameworks.
- Create trusted data foundations supporting machine learning, generative AI, semantic models, and intelligent automation.
- Apply security, governance, monitoring, performance optimization, and DevOps best practices.
- Mentor junior consultants, review technical deliverables, and contribute to solution quality across engagements.
- Use AI tools and technologies to accelerate analysis, improve delivery efficiency, and support data-driven client recommendations.
Requirements
- At least 4 years of experience designing and implementing enterprise data engineering solutions.
- Hands-on enterprise experience with Databricks, Snowflake, and/or Microsoft Fabric.
- Experience building cloud-native data pipelines with Spark, SQL, Python, and modern orchestration tools.
- Experience with lakehouse architecture, cloud data warehousing, data modeling, and ELT/ETL development.
- Experience integrating enterprise data platforms with analytics, business intelligence, machine learning, or generative AI solutions.
- Familiarity with Azure services such as Azure Data Factory, Azure Storage, Azure Synapse, and Microsoft Fabric, or comparable cloud technologies.
- Experience designing and implementing cloud-native data platforms on AWS, Microsoft Azure, and/or Google Cloud Platform.
- Understanding of data governance, security, metadata management, and data quality practices.
- Experience with Git, CI/CD pipelines, Infrastructure as Code, and agile software delivery practices.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Experience using AI tools such as ChatGPT in daily workflows, with the ability to evaluate accuracy, mitigate bias, and ensure quality.
- Ability to travel 30% to 50%.
- Ability to work permanently in the United States without sponsorship.
- Commitment to inclusion and diversity and openness to new ideas and perspectives.
Benefits
- Medical, dental, vision, and basic life insurance coverage for employees and families.
- 401k plan, employee stock ownership program, and eligibility for annual bonuses.
- Unlimited flexible time off and ten paid holidays annually.
- Ten weeks of paid parental leave available upon hire.
- Hybrid work environment requiring two days per week in the office.
- Travel requirement of 30% to 50%.
- Base salary varies by location, with listed ranges from $119,500 to $161,700 USD annually.
Tech Stack
Categories
Data Engineering
About West Monroe
West Monroe is a Chicago-based business and technology consulting firm that helps enterprises and private equity sponsors improve operations and build digital capabilities. It sells project-based consulting across industries such as financial services, healthcare, energy, and software, including M&A advisory, customer experience, product and data strategy, and cybersecurity. Founded in 2002 and privately held under M/C Partners, it operates from multiple U.S. hubs.