About OneSix

OneSix is a data and AI services firm. We exist to make data and AI work for the businesses where it matters most. We take on the work companies can't afford to get wrong, embedding teams sized to the problem and working inside our clients' operations as partners, not extra hands. We build durable systems that outlast the engagement, and we leave every client more capable and more profitable than we found them.

We work with Healthcare and Life Sciences, Higher Education, Manufacturing, Private Equity, and marketing organizations. We're a Snowflake Elite services partner.

Five values guide our work: Always Truthful, Own the Outcome, Believe in the Work, Team Over Ego, and Learn Here, Lead Here.

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..