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Sr Data Engineer

MeridianLink · US Remote

Extracted from the posting

Base
$95,000 – $135,000
Remote
Remote
On-call
Joins on-call rotation
Stack
Databricks, Apache Spark, SQL, Python

The Senior Data Engineer builds and runs MeridianLink's enterprise data products, including MDM, financial and revenue datasets, AI usage reporting, and Sigma self-service reporting. The work uses Databricks with Informatica-ingested Salesforce and NetSuite data, with Spark, SQL, Python, Unity Catalog, and GitLab CI/CD. The role includes MDM match review and joining the on-call rotation.

The Senior Data Engineer builds and runs the enterprise data products MeridianLink uses to run the business, including master data (MDM), financial and revenue datasets, AI usage reporting, and governed self-service reporting in Sigma. You’ll work on Databricks with Informatica-ingested data from Salesforce, NetSuite and our product platforms. You’ll partner with Finance, Product and the platform data teams to turn business rules into tested, documented pipelines.

Expected Duties:

  • Design, build and maintain batch and incremental pipelines on Databricks (Spark, SQL, Python, Spark Declarative Pipelines) through the medallion layers, including SCD2 history and reconciliation.
  • Own and extend MDM matching: cross-reference tables, human review of matches, and master ID assignment. Accuracy comes before automation.
  • Build financial datasets (billing, revenue, ARR inputs) with cross-functional teams and walking them through how the numbers are built.
  • Build and Maintain Documentation
  • Ship data pipelines through CI/CD (GitLab, Databricks Asset Bundles) with automated tests, schema checks, validation and rollback plans.
  • Understand Unity Catalog governance: least-privilege sharing, role-based PII masking, and lineage.
  • Join the on-call rotation and write runbooks and documentation others can use.
  • Use AI-assisted engineering tools and evaluate new technology through POCs.
  • Reverse Engineer pipelines or code to upgrade or modernize

Qualifications: Knowledge, Skills, and Abilities:

Required

  • 4-6 years experience in data engineering.
  • Deep Knowledge in SQL, Python, Spark and Databricks.
  • Experience with Salesforce and/or NetSuite data.
  • Experience handling PII (masking and removal).
  • Comfortable working independently and explaining data to non-technical stakeholders.

Preferred

  • AI-SDLC knowledge.
  • Best practices when using AI to assist in development.
  • Experience democratizing data for business users.

Educational Qualifications:

  • Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.

Compensation: $95K - $135K

Technologies

DatabricksApache SparkSQLPythonSalesforceNetSuiteInformaticaSigmaGitLab
MeridianLink
MeridianLink
Website

Job details

TypeFull-time
Work ModeRemote
LevelSenior
LocationUS Remote
Salary$95,000 - $135,000
PostedNov 05, 2026
Apply Now

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