Senior Engineer, Data Management (Remote)
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer, Data Management in the United States.
As a Senior Engineer, Data Management, you will lead the design, development, and optimization of large-scale data pipelines and analytics frameworks. You will work with cross-functional teams to ensure high-quality, reliable data flows and operationalize AI/ML solutions at scale. This role combines hands-on engineering with strategic oversight, emphasizing metadata-driven pipelines, automated quality frameworks, and continuous process improvement. You will mentor team members, establish best practices, and help drive a culture of data excellence. The position is fast-paced, collaborative, and ideal for engineers who thrive in complex cloud environments and enjoy shaping enterprise data strategies.
Accountabilities:
In this role, you will be responsible for:
- Designing, building, and automating data pipelines using Azure Data Factory, Databricks/Spark, Snowflake, and Kafka.
- Developing and maintaining metadata-driven frameworks to promote self-service and streamline data ingestion and transformation.
- Implementing data quality, monitoring, and alerting frameworks to ensure accurate and reliable datasets.
- Conducting complex data analysis to support business decisions and provide insights to stakeholders.
- Collaborating with engineering, architecture, and business teams to define standards, design patterns, CI/CD automation, and DevOps best practices.
- Documenting data models, data flows, technical mappings, and production support information.
- Leading and mentoring team members while evangelizing coding standards, design patterns, and enterprise best practices.
- Responding to SLA-driven production issues and continuously evaluating opportunities for process automation.
The ideal candidate will have:
- 5+ years of experience in enterprise data management or data engineering roles.
- Hands-on expertise with metadata-driven data pipelines and cloud data platforms such as Azure Data Factory, Databricks/Spark, and Snowflake.
- Strong proficiency in Python, PySpark, SQL, and Jupyter Notebooks for data analysis and transformation.
- Experience with DevOps practices and tools such as Azure DevOps or GitLab in multi-developer environments.
- Knowledge of enterprise ETL platforms (e.g., IBM Datastage, Informatica, Pentaho, Ab Initio) and reporting tools like PowerBI, Tableau, or OBIEE.
- Familiarity with infrastructure automation and cloud tools such as Terraform, Azure CLI, PowerShell, Kubernetes, and Docker.
- Strong communication and collaboration skills with the ability to explain technical concepts to stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Personal attributes: self-starter, curious, highly motivated, collaborative, team-oriented, and adaptable to fast-paced Agile environments.
This role offers a comprehensive benefits package, including:
- Base salary range: $117,000 – $137,000 (depending on experience and location)
- Incentive bonus program
- 401(k) savings plan with company match
- Health, dental, and vision insurance
- Life and disability insurance
- Paid parental and caregiver leave
- Flexible work-from-anywhere arrangements and remote work options
- Paid time off, wellness days, and volunteer opportunities
- Mobile stipend and merchandise discounts
- Opportunities for career advancement and professional development
- Access to Associate Resource Groups and mental health/wellness programs
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 3 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!
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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...
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