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Temporary Databricks Data Engineer Jobs in Texas

GEI Consultants

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Miracle Software Systems, Inc.

Data Architect

Frisco, TX

$59.75 - $77/hr

Databricks Data Engineer or Architect certification. Miracle Software Systems, Inc. is a Global System Integrator; a Technology Solution Provider headquartered in Novi, MI. Established in 1994 ...

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Prabhav Services Inc

Azure Databricks

Dallas, TX

$54.75 - $67.75/hr

Data Engineering : Design and build scalable ETL pipelines using Azure Databricks. * Data Migration : Migrate data from on-premises or legacy systems into Azure cloud environments. * Big Data ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily ...

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ... engineering discipline, or equivalent · 9-12 years of experience managing SQL Queries, Data Lake ...

Tekwissen

Data Engineer with Databricks, SQL

Frisco, TX

$107K - $128K/yr

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 ...

Tekwissen

Data Engineer with Databricks, SQL

Richardson, TX

$104K - $124K/yr

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 ...

TekVivid

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Key Skills: Power BI, Azure Data Bricks, Python Plano, TX- In person only Job Summary ... Build and optimize data transformation logic using Spark (Databricks), SQL, and Python * Develop ...

ADDSOURCE

Data Engineer

Irving, TX · Hybrid

$109K - $132K/yr

Hybrid 3 Days Onsite per Week Experience: 10+ Years We are looking for a highly skilled and hands-on Data Engineer with strong expertise in Databricks, Python, and SQL. The ideal candidate should ...

New

Guidehouse

Data Engineer

San Antonio, TX · On-site

$106K - $176K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including ...

Incedo Inc

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Wealth Management Platform Employment Type: Full-Time About the Role We are seeking a ... The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a ...

Kasmo Global

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions * CI/CD: GitHub, Azure DevOps, Terraform * BI Analytics Tool Stack - Cognos, Power BI Preferred ...

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All JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Texas

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Texas? The most popular types of Databricks Data Engineer jobs in Texas are:
What cities in Texas are hiring for Temporary Databricks Data Engineer jobs? Cities in Texas with the most Temporary Databricks Data Engineer job openings:
Temporary Databricks Data Engineer jobs near you
Data Engineer (Azure | Databricks | Snowflake)

Data Engineer (Azure | Databricks | Snowflake)

Merican

Frisco, TX • On-site

$107K - $128K/yr

Contractor

Posted 13 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

Social media

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