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Data & Analytics Engineer
CompassMSPCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and analytics, with strong capabilities in SQL, Python, and cloud data platforms, particularly Microsoft Azure. Proficient in building data pipelines, reports, and dashboards while ensuring data quality and integrity.
Highest-signal resume keywords
Data EngineeringStrong SQLPython for Data WorkCloud Data Platform (Azure)Data Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Allocate approximately 60% of work to backend, 30% to front-end and 10% to business systems as needed.
- Engineer and maintain the Microsoft Azure internal data platform and lakehouse.
- Consolidate reporting onto the lakehouse and data portal.
- Retire the legacy SQL Server reporting environment and Power BI by migrating active reports to the governed lakehouse and data portal.
- Maintain healthy data pipelines and support the full data path.
- Model data and build trusted reports and dashboards.
- Build internal applications on the data platform.
- Help add an AI layer enabling plain-language questions of the data.
- Produce data health reporting.
- Collaborate with the Director of Data & Analytics and stakeholders in Service Delivery, Finance, Sales, Client Success and Leadership.
- Use AI coding assistants for development, code review, data exploration and documentation while owning the quality and correctness of shipped work.
Requirements
What you’ll need- 3+ years in data engineering, analytics engineering or a similar role.
- Strong SQL, including T-SQL. You can read and refactor stored procedures, views and SQL Agent jobs.
- Strong Python for data work, with experience in DuckDB, Spark, pandas or similar.
- Hands-on experience with a cloud data platform, ideally Azure, and with Delta Lake or similar table formats.
- Solid data modeling: dimensional models, medallion architecture, slowly changing dimensions and conformed metrics.
- Experience building ELT pipelines from REST APIs and SaaS systems.
- A track record of migrating reports or data workloads between platforms, with a disciplined reconciliation and sign-off process.
- Experience building reports and dashboards for business users, and turning loose questions into precise metrics.
- Comfortable with Git, pull requests and code review.
- The instinct to reconcile a number before you trust it.
- Preferred: Experience in an MSP or IT services business, or with ConnectWise, Sage Intacct or HiBob data.
- Preferred: Experience with Salesforce, Gong, Cognism or HubSpot, as an admin or as a data source.
- Preferred: Power BI depth: DAX, semantic models, the REST and XMLA APIs and usage metrics.
- Preferred: Experience decommissioning legacy systems, including finding dependencies, managing stakeholders and archiving.
- Preferred: Microsoft Fabric, Azure Container Apps or Docker.
- Preferred: Web development (JavaScript, HTML and CSS) and Azure Static Web Apps or App Service.
- Preferred: Data quality and observability tooling, such as dbt tests, Great Expectations or custom checks.
- Preferred: Building with LLM APIs, retrieval-augmented generation or semantic layers.
- Preferred: CI/CD with GitHub Actions.
Benefits
Comp & perks- Competitive annual salary
- Quarterly Bonuses
- Progressive PTO
- Medical/Dental/Vision/Life/Disability coverages available
- 401k with company match
- Career Development and Coaching
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLT-SQLPythonData ModelingELT PipelinesData QualityData Health ReportingReport BuildingDashboard CreationData Migration
Soft Skills
CollaborationAttention to DetailProblem-Solving
Tools & Technologies
Microsoft AzureDuckDBSparkPower BIGitCI/CDAzure Container AppsDockerDbtLLM APIs
Industry Keywords
MSPIT ServicesConnectWiseSage IntacctSalesforceGongCognismHubSpot