United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data in the United States.
As an Engineering Manager, Data, you will lead a small but highly skilled team of data engineers responsible for building and maintaining scalable, secure, and reliable data infrastructure. You will oversee the development of batch and real-time data pipelines, data lake architectures, and database optimization, ensuring alignment with business objectives. This role combines technical leadership, hands-on execution, and strategic oversight, allowing you to mentor engineers, drive operational excellence, and champion best practices across data systems. You will collaborate with cross-functional teams, advocate for innovative solutions, and ensure data integrity, quality, and compliance. The position requires a proactive leader who thrives in a fast-paced, fully remote environment while delivering high-impact results.
Accountabilities
- Lead, mentor, and develop a team of 4-5 data engineers, providing technical guidance, career development, and performance feedback.
- Architect, oversee, and contribute to the deployment of secure, scalable, and highly available batch and real-time data pipelines.
- Guide the implementation and optimization of data lake architectures for handling structured and unstructured data.
- Collaborate with cross-functional teams including developers, analysts, and data scientists to integrate data engineering services and deliver reliable, clean data.
- Ensure data systems achieve high availability and performance targets, participating in incident response and on-call rotations.
- Uphold data quality, governance, and compliance standards, implementing monitoring tools and recommending team headcount adjustments as needed.
- Facilitate agile development processes, manage resource allocation, project prioritization, hiring, and onboarding.
- Stay current on industry trends in data engineering and cloud technologies, fostering continuous improvement and innovation within the team.
Requirements
- 8+ years of experience in data engineering or related fields, with 2-3+ years in a leadership or management role.
- Bachelor’s or Master’s degree in Computer Science or equivalent experience in the software industry.
- Hands-on experience building and managing scalable batch and real-time data pipelines using structured and unstructured data.
- Familiarity with orchestration tools such as Prefect, Airflow, or Dagster.
- Strong expertise in streaming technologies (e.g., Apache Kafka, AWS Kinesis, Apache Flink, GCP Pub/Sub).
- Knowledge of data lake architectures and tools (e.g., S3, Glue, Delta Lake) with depth in multiple product areas.
- Proficiency in database performance analysis and optimization, preferably with Redshift and Postgres.
- Experience with infrastructure-as-code tools like CDK or Terraform.
- Strong software engineering foundation in Python, Java, PHP, or Ruby, with the ability to deliver full-featured products.
- Excellent leadership, communication, and mentoring skills, with experience motivating teams and presenting technical guidance.
- Ability to make decisions in ambiguous situations and act with incomplete data.
Bonuses:
- Exposure to machine learning pipelines or big data frameworks (Apache Spark, Hadoop).
- Contributions to open-source data projects or relevant certifications (AWS Certified Data Analytics, GCP Professional Data Engineer).
Benefits
- Competitive salary range: $200,000 - $240,000 per year, based on experience.
- Fully remote work environment with home office set-up allowance.
- Unlimited PTO and parental leave benefits with a culture that values work-life balance.
- Comprehensive health and wellness benefits package.
- 401(k) plan with employer contributions.
- Opportunity to work with a passionate, collaborative, and innovative team.
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 for 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, it is shared directly with the hiring company, whose internal team will make the final decision and contact selected candidates for the next steps.
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