Manager - Data Engineering - USARemoteJobs.com

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager - Data Engineering in United States.

This role focuses on leading the design and implementation of scalable data systems that power financial, operational, and analytical decision-making across diverse business environments. You will work closely with finance, accounting, and operations teams to transform complex and often unstructured data into reliable, actionable insights. The position involves building modern data pipelines, optimizing cloud-based data warehouses, and enabling automated reporting solutions that replace manual and fragmented processes. You will play a key role in shaping data architecture strategy while ensuring high standards of data quality, governance, and performance. The environment is highly collaborative, working alongside experienced finance and analytics professionals to support portfolio-wide transformation initiatives. This is a hands-on leadership role combining technical depth with business impact across multiple client organizations.

Accountabilities:

Lead the design, development, and optimization of scalable data warehouses, ETL/ELT pipelines, and analytics infrastructure
Translate complex and ambiguous business needs into structured, data-driven solutions that support decision-making
Build and maintain automated reporting systems and workflows ensuring accuracy, consistency, and timeliness of data outputs
Develop dashboards and visualization tools to support financial, operational, and executive reporting needs
Partner with cross-functional stakeholders across finance, accounting, and operations to define data requirements and deliver solutions
Implement and enforce best practices in data governance, architecture, and data quality management
Support system integrations, data migrations, and modernization efforts during acquisitions or platform transitions
Manage technical initiatives such as API integrations, master data restructuring, and process automation projects

Requirements:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related quantitative field
5+ years of experience in data engineering, analytics engineering, or similar technical roles
Strong SQL expertise and proven experience designing and maintaining ETL/ELT pipelines
Hands-on experience with cloud data platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Experience with BI and visualization tools such as Power BI, Tableau, or Looker
Proficiency in Python or another scripting language is a strong plus
Experience working with financial, accounting, or operational datasets is highly preferred
Strong communication skills with the ability to translate technical concepts into business value
Ability to work directly with stakeholders in a consulting or multi-client environment

Benefits:

Competitive compensation aligned with experience and impact
Opportunity to work on high-impact, portfolio-wide data transformation projects
Exposure to modern cloud data platforms and advanced analytics technologies
Collaborative environment working closely with finance and analytics experts
Career growth opportunities in data engineering and data strategy leadership
Flexible work arrangements depending on project and client needs
Opportunity to contribute to automation, modernization, and enterprise reporting initiatives

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

Manager - Data Engineering

Requirements:

Benefits:

USA Remote Jobs