Data Engineer

Arctiq

Data Engineer for high-priority internal data implementation using Databricks. Designing data pipelines, working with stakeholders, and ensuring data quality across systems.

Posted 5/23/2026contractRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ERPSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines in Databricks using Declarative Pipelines (Delta Live Tables)
Build robust data models on Delta Lake that unify data across ERP, CRM, and resource management systems
Write clean, efficient, and well-documented SQL
Implement data quality frameworks, expectations, and lineage tracking within the Databricks ecosystem
Configure and manage Databricks workflows, jobs, and cluster resources
Map and load resource and delivery data into ERP deal objects
Execute the CRM-to-CRM data migration
Develop dashboards and reports that surface actionable insights
Define and instrument key business metrics in partnership with Finance, Sales, and Operations teams
Conduct exploratory analysis to surface trends, anomalies, and data quality issues
Lead discovery and requirements conversations with internal business teams
Translate business needs into well-scoped pipeline designs, data models, and reporting deliverables
Communicate progress, findings, and blockers clearly to both technical and non-technical stakeholders
Work closely with a Business Analyst to align data outputs with business processes and reporting workflows
Proactively manage scope and timeline to keep the implementation on track within the 3-month window

Requirements

What you’ll need

3+ years of hands-on experience in a data engineering or analytics engineering role
Deep, production-level experience with Databricks
Comfortable with Delta Lake, Declarative Pipelines (DLT), notebooks, SQL warehouses, jobs/workflows, and cluster configuration
Hands-on experience with Databricks Declarative Pipelines (Delta Live Tables)
Expert-level SQL proficiency, complex transformations, query optimization, and building reusable modular logic
Proven experience building and maintaining pipelines that integrate data from ERP and CRM systems
Solid understanding of data modeling principles
Experience with data migration or system transition projects
Ability to independently lead stakeholder discovery sessions
Strong communication skills; comfortable presenting technical work to non-technical audiences
Demonstrated ability to deliver at pace in a time-boxed engagement with a high degree of autonomy

Benefits

Comp & perks

inclusive work environment
accommodations throughout the interview process

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

data engineeringanalytics engineeringDatabricksDelta LakeDeclarative PipelinesSQLdata modelingdata migrationdata quality frameworksexploratory analysis

Soft Skills

communication skillsstakeholder managementleadershipproblem-solvingcollaborationautonomypresentation skillsrequirements gatheringtime managementadaptability