IS Data Engineer - (Multiple locations)

Jobgether; Washington (District of Columbia); Remote; USD 126,000 - 187,000; Full time

Job summary

An innovative talent matching platform seeks a skilled IS Data Engineer to enhance data-driven decision-making. In this pivotal role, you'll design and optimize data pipelines, ensuring secure and accessible data for advanced analytics. Collaborating with diverse teams, you'll drive impactful data projects while working in a flexible, fully remote environment. This opportunity promises professional growth and the chance to influence the organization's data-driven future, making it perfect for those passionate about data engineering and analytics.

Benefits

Competitive compensation and benefits package

Flexible, fully remote work environment

Access to the latest cloud and data technologies

Ongoing professional development and training support

Collaborative and inclusive team culture

Supportive leadership and strong cross-functional collaboration

Qualifications

• 5+ years of experience in data engineering, including database design.
• Hands-on experience working with large datasets and multi-source data integration.
• Strong problem-solving skills and effective communication.

Responsibilities

• Design and maintain scalable data pipelines for data ingestion and integration.
• Collaborate with analysts to define and refine data requirements.
• Ensure data governance, security, and compliance standards are met.

Skills

SQL

Data Engineering

ETL Development

Azure Data Tools

Data Warehousing

Business Intelligence Tools

Problem-Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Microsoft SQL Server

Snowflake

Power BI

Tableau

Azure Data Factory

Databricks

Job description

1 week ago Be among the first 25 applicants

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

Accountabilities:

• Design, develop, and maintain scalable data pipelines from ingestion through integration to consumption
• Optimize workflows and reduce manual processes through automation and orchestration
• Collaborate with business analysts and data teams to define and refine data requirements
• Partner with stakeholders to promote and educate on the use of data and analytics capabilities
• Integrate and manage large-scale datasets from multiple, diverse sources
• Ensure data pipelines adhere to governance, security, and compliance standards
• Apply DevOps and DataOps principles to increase efficiency and reliability of data flows
• Continuously enhance infrastructure to improve data availability, quality, and discoverability
  
  
  

Requirements

• Minimum 5 years of experience in data engineering, including database design and ETL development
• Proficient in SQL and experienced with RDBMS technologies (e.g. Microsoft SQL Server, Snowflake)
• Familiarity with Azure data tools (e.g. Data Factory, Databricks, Functions, Monitor)
• Solid understanding of data warehousing, data lifecycle, and analytics architectures
• Hands-on experience working with large datasets and multi-source data integration
• Knowledge of business intelligence tools (e.g. Power BI, Tableau) and cloud platforms
• Experience in healthcare or managed care data environments is a plus
• Strong problem-solving skills, effective communication, and a drive for continuous learning
  
  
  

Benefits

• Competitive compensation and benefits package
• Flexible, fully remote work environment
• Opportunity to work on mission-driven, impactful data projects
• Access to the latest cloud and data technologies
• Collaborative and inclusive team culture
• Ongoing professional development and training support
• Supportive leadership and strong cross-functional collaboration
• Chance to shape and influence the organization's data-driven future
  
  
  

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.

If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Non-profit Organizations and Primary and Secondary Education

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