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Lead Data Engineer
- Manchester, New Hampshire, United States
- Manchester, New Hampshire, United States
Über
How you will make an Impact Own Data Architecture & Solution Delivery Lead the design and implementation of scalable data platforms, including data warehouses, data marts, and ETL/ELT pipelines. Establish standards and best practices for data modeling, transformation, and system design. Drive Platform Performance & Reliability Ensure high availability and performance of data systems through optimization, monitoring, and operational excellence. Oversee pipeline reliability, database performance, and production readiness for mission‑critical workloads. Lead Data Strategy & Integration Partner with business and IT stakeholders to align data architecture with organizational goals. Drive integration of data systems and ensure consistency, accessibility, and usability of enterprise data. Advance Innovation & Technical Leadership Evaluate and adopt new tools, frameworks, and emerging technologies. Provide mentorship and technical leadership to the data engineering team, fostering continuous improvement and engineering excellence. Participate in a 24/7 on‑call rotation to support mission‑critical analytics in production. What we are looking for Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred) 8 years of experience in data engineering, business intelligence, or analytics roles 5 years of hands‑on experience with SQL and Python, building and maintaining scalable data pipelines 5 years of experience with cloud‑based data platforms (AWS preferred: S3, Lambda, Athena, Aurora, Glue, Redshift) Strong expertise in relational data modeling, database design, and performance optimization (PostgreSQL preferred) Experience mentoring and developing engineers, fostering best practices, code quality, and a culture of continuous improvement Strong communication skills with the ability to translate business requirements into scalable data solutions Ability to influence architectural decisions and collaborate cross‑functionally with engineering, analytics, and business teams Preferred Qualifications Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelines Proven experience designing and implementing enterprise‑scale data architectures and data platforms Familiarity with infrastructure‑as‑code (Terraform, CloudFormation) and DevOps best practices Experience with data governance, data quality frameworks, and observability tools This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.). Compensation and Benefits The expected salary range for a Lead Data Engineer is $150,000 - $170,000 per year. We will also consider a Mid to Senior level Data Engineer. The pay range for the Mid to Senior level is $110,000 - $150,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks. This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required. Equal Opportunity We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law. Drug Free Environment We maintain a drug-free workplace and perform pre-employment substance abuse testing.
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Sprachkenntnisse
- English
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