Data Engineer building data solutions for a SaaS construction tech startup. Collaborating across teams to analyze data and drive decision-making in high-impact projects.
Responsibilities
Build and maintain data pipelines, automation scripts, and analytical tools to support business operations
Analyze complex datasets to identify trends, opportunities, and actionable insights that drive decision-making
Create dashboards, reports, and data visualizations for internal stakeholders and leadership
Work cross-functionally with engineering, sales, and operations to solve high-priority business problems
Own projects end-to-end with minimal supervision—from scoping to execution to presentation
Identify process inefficiencies and build solutions that scale
Requirements
Bachelor's degree in a quantitative field (Engineering, CS, Econ, Physics, Math, etc.) from a top-tier university
Strong proficiency in Python and SQL
Demonstrated experience with data analysis, visualization, and statistical methods
Excellent problem-solving skills with ability to structure ambiguous problems
Outstanding communication skills—can translate technical findings into clear business recommendations
Self-starter mentality with high ownership and willingness to do whatever it takes
Comfort with fast-paced startup environment and ability to context-switch between projects
Experience with data engineering, ETL processes, or database management
Experience with visualization tools (Tableau, Looker, Power BI, or similar)
Familiarity with software engineering concepts such as git basic devops
Benefits
Company-sponsored health insurance
Unlimited PTO
FSA
Remote work flexibility with a dynamic team environment
Comprehensive benefits package and professional development opportunities
Accelerated career growth in a fast-scaling startup
Senior Data Engineer role at Dun & Bradstreet focused on data analytics and visualization. Collaborating with teams to optimize data processes and deliver actionable insights.
Senior Data Engineer with AWS expertise leading financial data architecture and scalable solutions. Collaborating in wealth management to enhance data quality and systems.
Data Migration Specialist handling large - scale data migration from legacy to enterprise PLM platform. Analyzing data structures, developing strategies, and ensuring integrity across systems.
Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.