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Temporary Databricks Jobs in Texas (NOW HIRING)

Data Engineer with Databricks, SQL Location: Bellevue, WA / Frisco, TX / Overland Park, KS Duration ... Temporary Assignment Work Type: Hybrid JOB SUMMARY: * Our team builds and maintains data products ...

Data Engineer with Databricks, SQL Location: Bellevue, WA / Frisco, TX / Overland Park, KS Duration ... Temporary Assignment Work Type: Hybrid JOB SUMMARY: * Our team builds and maintains data products ...

Senior Data Engineer

Dallas, TX

$105K - $143K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United ... Design and develop data pipelines using Databricks Lakehouse architecture, including ingestion ...

Senior Data Engineer

Dallas, TX

$104K - $142K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United ... Design and develop data pipelines using Databricks Lakehouse architecture, including ingestion ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United ... Design and develop data pipelines using Databricks Lakehouse architecture, including ingestion ...

Temporary Assignment Work Type: Onsite REQUIRED QUALIFICATIONS * Bachelor's degree in Computer ... Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop ...

Temporary Assignment Work Type: Onsite REQUIRED QUALIFICATIONS: * Bachelor's degree in Computer ... Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop ...

Temporary Assignment Work Type: Onsite * The Associate Data Engineer is an early-career engineer ... Exposure to cloud data platforms - Databricks, Snowflake, or comparable - with a willingness to ...

Developer III - Software Engineering

Frisco, TX · On-site

$114K - $151K/yr

Temporary Assignment Work Type: Onsite * The Data Engineer is a hands-on builder who executes ... Builds pipelines in Snowflake (including Iceberg tables) and/or Databricks (Delta Lake) per the ...

Temporary Assignment Work Type: Onsite * The Associate Data Engineer is an early-career engineer ... Exposure to cloud data platforms - Databricks, Snowflake, or comparable - with a willingness to ...

Be Seen First

Explore a career with A & Associates, one of the leading providers for temporary, temp-to-hire ... Databricks * dbt / Fivetran / Airbyte * BI tools (Power BI, Tableau) * Familiarity with programming ...

Associate Data Architect I

Frisco, TX · On-site

$59.75 - $76.75/hr

Temporary Assignment Work Type: Hybrid * We are seeking a Senior Data Analyst to support a critical ... Databricks * Azure ecosystem (data services understanding) * Familiarity with Oracle planning ...

Temporary Assignment Work Type: Hybrid Role Summary * The Information Architect is the end-to-end ... Own transformation logic, Databricks lakehouse design, Unity Catalog governance, and Azure data ...

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Temporary Databricks information

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Data Engineer (Azure | Databricks | Snowflake)

Data Engineer (Azure | Databricks | Snowflake)

Merican

Frisco, TX • On-site

$107K - $128K/yr

Contractor

Posted 3 days ago


Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer (Azure | Databricks | Snowflake)
Location: Frisco, TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description
  • Needed for Azure-native third party data enrichment platform using Databricks/Spark + Snowflake; focus on reliable governed pipelines, strong Spark troubleshooting, privacy/governance, and cost-aware engineering; h
  • Team / Business Context: You will join a data engineering team responsible for third party data enrichment augmenting first party datasets with external identity/attribute data to support analytics, activation, and research.
  • The enriched datasets are consumed by multiple downstream systems and teams, including the Customer Data Platform (CDP) and other analytics/research stakeholders.
  • The platform is Azure-native and built primarily on Databricks (processing + some ML workloads) and Snowflake (analytics/warehouse).
  • A major focus is building reliable, governed, vendor agnostic datasets while ensuring privacy/compliance, data governance, and cost efficiency.

Key Responsibilities
  • As a Data Engineer, you will: Data Ingestion & Pipeline Development Build and enhance ingestion pipelines for large batch and event-driven paths (streaming may evolve over time).
  • Integrate data from: Third party enrichment vendors (identity + attributes, very large volumes) Digital platforms via Conversion API (CAPI) integrations (through intermediary/middleware) Rewards/Promotions systems (e.g., TMT) for offer issuance/redemption/consumption data Data Quality, Reliability & Operations Implement strong data validation, idempotency, replay/backfill strategies, and deduplication to prevent quality drift.
  • Own monitoring, alerting, dashboarding, and operational readiness ( wrappers around core pipelines).
  • Troubleshoot failures with root cause analysis not just reruns: Interpret Spark logs Diagnose performance issues (shuffle, skew, partitioning) Improve stability and SLA adherence Governance & Compliance (First-class NFR) Apply privacy, compliance, and governance requirements across pipelines and datasets.
  • Support governance standards such as: Unity Catalog, lineage, access controls Managing PII vs non PII access Documentation of tables, schemas, catalogs, and cluster usage Cost Governance & Performance Optimization
  • Design pipelines with cost awareness from day one: Cluster sizing, workload tuning, efficient compute/storage usage
  • Trade-off decisions balancing cost vs quality vs SLA Collaboration & Ownership Work in a small, fast-moving team; be self-driven and ownership-oriented.
  • Raise and manage data quality escalations when issues are detected.
  • Contribute to evolving architecture (product is early-stage; first live month was recent).

Must-Have Skills (Screening Keywords)
  • Candidate with hands-on, recent experience in: Strong coding: PySpark + SQL (hands-on, not only orchestration)
  • Databricks: notebooks/jobs, performance tuning fundamentals, medallion patterns Spark fundamentals: partitioning, skew/shuffle optimization, understanding failures via logs
  • Snowflake: data modeling/usage for analytics/warehousing workloads
  • Azure ecosystem: Azure Data Factory (ADF) (orchestration) Azure-native integrations and services exposure
  • Data engineering reliability patterns: validation, idempotency, replay/backfills, dedup, auditability
  • Data governance: Unity Catalog (preferred), lineage, access control patterns, PII handling Ownership mindset: can execute independently without constant approvals/check-ins

Nice-to-Have Skills
  • Event-driven/streaming ingestion exposure (even if primary is batch today) Delta/Databricks patterns such as Delta Live Tables (DLT) (some workflows exist) Experience building config-driven export frameworks for multiple downstream consumers/vendors Exposure/interest in identity resolution concepts (ML optional; ETL strength is priority) Familiarity with CAPI integrations / marketing tech data signals Experience implementing operational telemetry: dashboards, alerts, SLA monitoring What Good Looks Like (Success Criteria) Ships reliable, well-governed datasets with strong data quality practices Can scale pipelines for very large volumes (hundreds of millions of records per vendor) Prevents silent failures where quality degrades without obvious job failures Balances delivery speed with compliance, governance, and cost controls

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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