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Data Engineer III (Remote - US)
Data Engineer III (Remote - US)Jobgether • US
Data Engineer III (Remote - US)

Data Engineer III (Remote - US)

Jobgether • US
30+ days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer III in the United States .

This role offers a hands-on opportunity to design, build, and maintain cloud-based data pipelines that support critical business workflows. As a Data Engineer III, you will work with large-scale datasets, implement robust ETL processes, and ensure data quality and accessibility for analytics and operational use. You will collaborate with cross-functional teams to translate business requirements into scalable solutions while optimizing performance, security, and cost. This position emphasizes continuous improvement, automation, and innovation, providing the chance to influence data strategy and enable impactful decision-making across the organization. The role is fully remote, supporting a flexible and dynamic work environment.

Accountabilities :

  • Develop, deploy, and maintain scalable cloud-based data pipelines from raw sources to feature stores, ensuring data quality, performance, and reliability.
  • Translate business and product requirements into efficient data engineering solutions using PySpark, SQL, and cloud data engineering tools.
  • Monitor production pipelines, troubleshoot issues, and implement continuous improvements to optimize speed, cost, and accuracy.
  • Collaborate with colleagues, management, and clients to solve complex problems and deliver high-quality, documented solutions.
  • Adhere to data security, privacy, and compliance policies, including HIPAA where applicable.
  • Recommend improvements to existing processes and participate in review and governance activities.
  • Support integration with unstructured data sources and cloud-based compute platforms, enabling advanced analytics and AI workflows.

Requirements

  • 5+ years of experience with relational database systems (SQL Server preferred).
  • 4+ years of experience with cloud services and data engineering tools (Azure Data Factory preferred).
  • 4+ years of experience building PySpark pipelines and data workflows.
  • Ability to produce high-quality, well-documented work and maintain focus in a fast-paced environment.
  • Strong collaboration, problem-solving, and communication skills.
  • Preferred : experience with Bicep , Git, Databricks, RESTful APIs, Agile development, and unstructured data sources.
  • Understanding of CI / CD pipelines, testing, deployment, and release methodologies.
  • Familiarity with data privacy and security principles, including HIPAA.
  • Education equivalent to a Master’s or PhD in a data-related field is advantageous.
  • Benefits

  • Competitive salary and bonus structure with generous HSA contributions.
  • Comprehensive healthcare, dental, vision, and prescription coverage.
  • 401(k) retirement plan with company match.
  • Flexible paid time off and holidays, with unlimited PTO for salaried employees.
  • Paid parental leave for birth and adoptive parents.
  • Wellness reimbursement for gym memberships, weight management, and related activities.
  • Education reimbursement to support professional development.
  • Inclusive, diverse, and collaborative culture with multiple employee engagement and affinity groups.
  • Fully remote work with a camera-first virtual environment to foster engagement and collaboration.
  • 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.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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