Cloud Data Engineer - (Coalesce, Snowflake)

Webhelp$92K — $108K *
Omaha, NE 68179In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-6 years of experience in SQL and Snowflake development.
  • 1-2 years of hands-on experience building transformations in Coalesce.
  • 2+ years of experience in Python, including Streamlit development.
  • Strong hands-on expertise in Snowflake, focusing on SQL development and data warehousing concepts.
  • Advanced SQL skills, including complex joins and performance tuning.
  • Strong communication skills to translate business needs into technical data solutions.
  • Good-to-have exposure to cloud platforms like Azure, AWS, or GCP.

Responsibilities

  • Design, build, and optimize scalable data solutions using Snowflake.
  • Develop robust data transformation pipelines in Coalesce for analytics and reporting.
  • Build and enhance Python-based applications to support data workflows.
  • Write high-quality, performant SQL with advanced techniques.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Drive automation across engineering processes to improve efficiency.
  • Support production stability through proactive issue resolution.

Benefits

  • Medical, dental, and vision insurance.
  • Comprehensive employee assistance program.
  • 401(k) retirement plan.
  • Paid time off and holidays.
  • Paid learning days.
Full Job Description

Job Title:

Cloud Data Engineer - (Coalesce, Snowflake)

Role: Cloud Data Engineer – (Coalesce, Snowflake)

Location: Omaha, NE (Onsite – 5 days a week)

Job Description
We’re looking for a mid-level Cloud Data Engineer who brings deep hands-on expertise in Snowflake, advanced SQL, Python, and Coalesce to build scalable, high-quality data solutions. In this role, you will design and optimize cloud data transformations, automate workflows, and translate business requirements into reliable engineering outcomes. This is an onsite role based in UPC, ideal for someone who thrives in a collaborative, delivery-focused environment and takes pride in getting it right the first time.

Responsibilities

  • Design, build, and optimize scalable data solutions usingSnowflake, with strong focus on SQL development, warehousing concepts, and workload management.

  • Develop robust data transformation pipelines inCoalesceto support analytics, reporting, and downstream business use cases.

  • Build and enhancePython-based applications, includingStreamlitsolutions, to support data workflows, usability, and business insights.

  • Write high-quality, performant SQL using advanced joins, window functions, CTEs, and other optimization techniques.

  • Collaborate with business and technical stakeholders to translate requirements into effective, maintainable data solutions.

  • Apply strong data engineering fundamentals to support data ingestion, transformation, validation, and delivery.

  • UseGitfor version control, branching, code reviews, and collaborative development workflows.

  • Drive automation across engineering processes to reduce manual effort and improve speed, quality, and repeatability.

  • Support production stability by building with azero-defect, first-time-rightmindset and proactively resolving issues before they impact delivery.

  • Contribute to knowledge sharing, documentation, and team collaboration to strengthen engineering excellence across the function.

  • Where applicable, leverage Snowflake advanced capabilities such asStreams/Tasks, Dynamic Tables, Snowpipe, External Tables, and Zero-Copy Cloning.

  • Partner across teams working in broader cloud ecosystems such asAzure, AWS, or GCP, including storage and access control patterns.

Qualifications

  • 3 6 yearsof experience inSQL and Snowflakedevelopment.

  • 1 2 yearsof hands-on experience building transformations inCoalesce.

  • 2+ yearsof experience inPython, includingStreamlitdevelopment.

  • Strong hands-on expertise inSnowflake, including SQL development, data warehousing concepts, and workload management.

  • Advanced SQL skills, includingcomplex joins, window functions, CTEs, and performance tuning considerations.

  • Experience usingGitfor source control and collaborative engineering practices.

  • Strong communication skills, with the ability to clearly translate business needs into technical data solutions.

  • Strong analytical thinking, problem-solving ability, and core data engineering fundamentals.

  • Demonstrated automation mindset with a passion for improving efficiency and eliminating manual work.

  • Strong collaboration, documentation, and knowledge-sharing skills.

  • Proven commitment to quality, with experience delivering stable, production-ready solutions.

  • Good-to-have exposure tocloud platformssuch as Azure, AWS, or GCP, including object storage and IAM patterns.

  • Nice to have familiarity withevent streamingtechnologies such as Kafka, Kinesis, or Event Hubs, and CDC tools.

  • Exposure toreporting and visualization technologiesis a plus.

  • GenAI development exposure, including tools or platforms such asCOCOorCopilot, is an advantage.

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field preferred.

The base salary for this position is $ 92,250 to $108,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.

The deadline to apply for this position is: 08/12/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

#LI-Onsite
#Omaha
#Nebraska

Location:

USA, NE, Work-at-Home

Language Requirements:

Time Type:

Full time


Physical and Mental Requirements:

The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

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