Data Engineer
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Job Description
Data Engineer responsible for building data pipelines and ensuring data quality for analytics. Collaborating with cross-functional teams to support enterprise decision-making in a remote setup.
Responsibilities:
- Design, develop, maintain, and optimize data pipelines that support data integration, transformation, and analytics initiatives
- Develop and maintain data models, data warehouses, and data structures that support reporting, business intelligence, and enterprise analytics
- Extract, transform, validate, and load data from multiple source systems while ensuring data quality, integrity, consistency, and compliance with business requirements
- Support the design, implementation, maintenance, and optimization of the organization’s data architecture and technology platforms
- Develop, maintain, and optimize SQL queries, database objects, and data transformation processes to improve performance and scalability
- Collaborate with Business Intelligence, Analytics, Technology, and business stakeholders to gather requirements and deliver data solutions that support business objectives
- Support data quality initiatives by identifying, troubleshooting, and resolving data inconsistencies, duplicate records, and integration issues
- Prepare and maintain technical documentation, data dictionaries, process documentation, and knowledge base resources to support ongoing operations and knowledge transfer
- Communicate technical concepts, project updates, and data insights effectively to technical and non-technical stakeholders
- Research and evaluate emerging technologies, tools, and best practices to improve data engineering capabilities and operational efficiency
- Adhere to company policies and procedures
- Meet or exceed performance targets for related KPIs
- Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules
- Collaborate with other departments as needed
- Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Business Analytics, Data Science, or a related field preferred
- Minimum of one (1) year of experience in data engineering, business intelligence, data analytics, data integration, or a related field preferred
- Experience designing, developing, and supporting data pipelines, ETL/ELT processes, and data integration solutions
- Strong proficiency with SQL and relational database management systems
- Experience with Python or other scripting languages used for data engineering and automation is preferred
- Experience with cloud-based data platforms, data warehouses, and modern data architecture concepts is preferred
- Experience with data transformation, data modeling, data validation, and data quality management practices
- Experience with business intelligence and data visualization platforms such as Looker, Looker Studio, Tableau, Power BI, or similar tools is preferred
- Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret complex datasets and develop scalable data solutions
- Strong written and verbal communication skills with the ability to communicate technical concepts effectively to technical and non-technical stakeholders
- Strong organizational and time management skills with the ability to manage multiple priorities and deadlines in a fast-paced environment
- Ability to work independently and collaboratively within a cross-functional team environment
- Commitment to data quality, continuous improvement, operational excellence, and data-driven decision-making
Benefits:
- Competitive compensation designed to recognize your experience, contributions, and impact
- Retirement Savings Program with Company Matching to help support your long-term financial goals
- Life insurance coverage
- HMO coverage starting on Day 1
- Free dependent coverage, with one (1) dependent covered upon regularization and a second (2) dependent added after one year of service
- Paid time off plus birthday leave so you can rest, recharge, and celebrate your special day
- Opportunities for skills training and personal and professional development to support your continued growth
- Employee Referral Program with rewards for successful referrals
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