Data Engineer

About OneSix OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives. Role Overview OneSix is seeking an energetic and passionate Data Engineer with solid experience in the financial services sector. In this role, you will work on Client project teams with a focus on designing, building, and maintaining scalable and secure data platforms that support complex financial data workflows and analytics. Your work will empower internal teams by delivering reliable, performant data infrastructure tailored to the unique demands of financial services. Core Responsibilities Data Engineering & Development Develop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments. Design and implement efficient data models, data warehouses, and data lakes optimized for financial reporting and analytics. Optimize performance, scalability, and reliability of data storage and processing systems. Monitor data pipelines and troubleshoot issues promptly to minimize downtime. Collaboration & Quality Assurance Collaborate with data scientists, analysts, and engineers to ensure data availability, quality, and integrity. Participate in code reviews, automated testing, and deployment processes to maintain high-quality data engineering standards. Compliance & Security Ensure compliance with industry-specific regulatory requirements for data security and privacy. Technical Leadership & Delivery Demonstrate in-depth technical capabilities and professional knowledge. Define the architecture, design solutions, and support test and implementation of business intelligence and software applications. Stakeholder Engagement Engage with internal leadership and teams to deliver solutions and drive projects. Focus on the business value of solutions while leveraging technology to solve data challenges in financial services. Qualifications Prior experience working in either Data Warehousing or Business Intelligence, with exposure to architecting and/or building cloud-based data platforms considered a significant advantage Experience working with major cloud and on-premise database technologies such as Snowflake, Redshift, BigQuery, Azure Synapse, SQL Server, Oracle, Postgres, and/or MySQL Experience with one or more commercial cloud platforms — AWS, Azure, or Google Cloud Technical experience in ETL/ELT tools such as Fivetran, DBT, Matillion, SSIS, Coalesce, Talend, Informatica, or Rivery Expertise with Business Intelligence/Data Visualization tools such as Power BI, Tableau, Looker, Sigma, Pyramid Analytics, ThoughtSpot, Sisense, or Qlik Experience designing and implementing data models for applications and/or reporting purposes Strong desire to work hands-on developing Data Lakes, Data Warehouses, and other performance management solutions across various industries and functional disciplines Demonstrated problem-solving and quantitative skills, combined with excellent written and verbal communication skills Experience with real-time data processing frameworks such as Kafka, Spark, or similar. Background working with financial datasets, including transactional data, risk metrics, or compliance reports. Familiarity with automated testing, CI/CD pipelines, and infrastructure as code. Compensantion This is a nearshore position with a base salary of $60,000–$85,000 USD annually , depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This range reflects base pay only and does not include additional compensation such as bonuses, equity, or benefits.. OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.