ZipRecruiter

Log In

1

Temporary Watermark Jobs (NOW HIRING)

Merican

Data Engineer with Databricks and Spark

Bellevue, WA · On-site

$129K - $155K/yr

Temporary Assignment Work Type: Onsite/Hybrid * This role builds, and maintains scalable data ... watermark or CDC; error handling, retry logic, and dead-letter patterns Data Quality Experience:

next page

Showing results 1-20

All JobsTemporary Watermark Jobs

Temporary Watermark information

See salary details

$10

$47

$97

How much do temporary watermark jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for temporary watermark in the United States is $47.35, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $66.35 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Watermark jobs? The most popular types of Watermark jobs are:
Temporary Watermark jobs near you
Infographic showing various Temporary Watermark job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Full Time, 85% Part Time, and 13% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $98,480 per year, or $47.3 per hour.
Data Engineer with Databricks and Spark

Data Engineer with Databricks and Spark

Merican

Bellevue, WA • On-site

$129K - $155K/yr

Other

Posted 4 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 with Databricks and Spark
Location: Bellevue, WA
Duration: 5 Months
Job Type: Temporary Assignment
Work Type: Onsite/Hybrid
Job Description
  • This role builds, and maintains scalable data pipelines and lakehouse infrastructure on Microsoft Azure to support efficient extraction, transformation, and loading of data across batch and real-time workloads.
  • It involves implementing and managing the Medallion Architecture (Bronze → Silver → Gold) using Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue.
  • The role requires ensuring SLA-adherent data quality standards. Success is measured by pipeline reliability, data freshness SLA compliance, and the quality of Gold-layer datasets powering Power BI executive dashboards.
  • The work supports organizational decision-making by delivering trusted, well-governed data to business executives and analytics consumers.

Required Skills:
  • Experience building and optimizing big data pipelines using Azure Data Factory, PySpark, and SQL across structured and semi-structured data sets
  • Hands-on experience implementing Medallion Architecture (Bronze/Silver/Gold)
  • Experience with Delta Lake - ACID transactions, incremental loading, schema evolution, partitioning strategies
  • Experience performing root cause analysis on pipeline failures and data quality issues to resolve SLA breaches and identify platform improvement opportunities

Azure Foundational Services :
  • Working knowledge of: Azure Data Factory (ADF), ADLS Gen2, Azure SQL Database, Azure Blob Storage, Azure Key Vault, Azure Monitor / Log Analytics, Azure Event Hubs, Microsoft Fabric Lakehouse, Azure Active Directory / Entra ID (RBAC, Service Principals)

Programming Languages:
  • Proficiency in Python and PySpark for data transformation, pipeline automation, and large-scale distributed processing; strong SQL skills including window functions, CTEs, and query optimization across relational and lakehouse engines

Data Architecture:
  • Solid understanding of Medallion Architecture, dimensional modeling (Star Schema, SCD Types 1/2/3), and the trade-offs between lakehouse, data warehouse, and data lake patterns

Pipeline Engineering:
  • Ability to build robust ADF pipelines with ForEach, Lookup, Copy Activity, and Data Flows; incremental loading via watermark or CDC; error handling, retry logic, and dead-letter patterns

Data Quality Experience:
  • Experience implementing SLA-based data quality checks (freshness, completeness, row count), monitoring via Azure Monitor and ADF diagnostic logs, and defining data quality agreements with business stakeholders.

DevOps for Data:
  • Experience with Git-based workflows, ADF Git integration, CI/CD pipeline promotion across Dev/Test/Prod using Azure DevOps or GitHub Actions

Reporting Layer Awareness:
  • Understanding of how Gold-layer data feeds Power BI - DirectQuery vs. Import mode trade-offs, dataset refresh patterns, and semantic model collaboration with BI teams
  • Ability to manage work across multiple concurrent pipeline projects, prioritize by business impact, and communicate status clearly to technical and non-technical stakeholders

Good to have skills:
  • Experience with Microsoft Fabric (Lakehouse, Notebooks, OneLake, Fabric Pipelines) - active migration or greenfield project
  • Experience with real-time / streaming workloads using Azure Event Hubs or Structured Streaming in PySpark
  • Experience delivering data platforms for executive-level reporting via Power BI semantic models

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

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

FacebookTwitter

View All Merican Jobs

Apply