• Deploy and manage AI evaluation processes across our infrastructure. • Process and perform comprehensive data analysis to identify trends, inconsistencies, and opportunities for model enhancement. • Build and maintain scalable data pipelines. • Collaborate with cross-functional teams to embed security and compliance considerations into the development lifecycle. • Automate repetitive workflows and implement solutions to improve operational efficiency.

Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. We do this by working hands-on with our clients to build the systems they need to scale, while at the same time transferring knowledge and helping them develop their own internal capabilities. We work with a diverse range of companies—from fast-growing startups to well-established organizations—who need to build or modernize their data and analytics infrastructure. We leverage the right tools and latest technologies to balance technical rigor with flexibility based on our customers' unique needs. Our work spans cloud infrastructure across Amazon, Google, and Microsoft platforms, integrating systems throughout the customer journey including HubSpot, Salesforce, and Zendesk. Beyond infrastructure, we help companies establish strong data foundations: ensuring data quality, implementing governance frameworks, defining metrics that align with business logic, creating centralized data models, and establishing sources of truth. This ensures our clients not only have visibility into their data but can trust the numbers across all reporting layers. We incorporate and leverage AI at all levels of our company: helping clients create AI-centric products, creating and deploying AI agents along their customer journey, implementing AI-based support systems for internal users, and maximizing the use of AI for development processes. We are seeking a Software and Data Engineer to join our team. What you’ll do: Help design and implement data pipelines and analytic infrastructures with the latest technologies. Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities. Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery. Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities. Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms. Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth. Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect. Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers. Develop technical documentation and best practices for our customers. Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes. Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. Coordinate projects, activities, and tasks to ensure objectives and key results are met. Identify opportunities, generate innovative solutions, and improve existing product features. Who we are looking for: Our ideal candidate is someone with 1-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning. We’re looking for motivated, highly adaptive people who enjoy the challenge of working with brilliant people in multiple innovative companies to put in place technical infrastructures that power their growth. They must be able to interact with customers and perform not only technical work but also understand needs, extract requirements, and design and propose solutions. English Language Requirements: CEFR level C1 (Advanced) means you can: Understand a wide range of demanding, longer texts and recognize implicit meaning Express yourself fluently and spontaneously without much obvious searching for expressions Use language flexibly and effectively for social, academic, and professional purposes Produce clear, well-structured, detailed text on complex subjects Nice-to-have's (not required): Familiarity with data warehouses like Snowflake, Redshift, or BigQuery Experience with data modeling, data governance, and creating complex visualizations Experience with BI tools such as Looker, Sigma, or Power BI AWS/GCP/Azure services knowledge Experience with development tools such as Terraform, Docker, CircleCI, and dbt Certifications (AWS, Google Professional Data Engineer, etc.) Knowledge of Google Analytics, Salesforce, HubSpot, and/or Zendesk Comfort working in non-hierarchical, diverse work environments Bachelor’s degree in computer science or similar field Besides the benefits that, as per law, you are entitled to, we offer: Personal development plan with an accelerated career track. Access to an extensive reference library of books, case studies, and best practices. Unlimited access to AI tools (ChatGPT, Claude, Gemini, etc.) Unlimited budget for work-related books. Online training (Udemy, nanodegrees, etc.), English language training. Stretch assignments, pair programming, and code reviews with new technologies. Yearly performance bonus based on personal performance. Yearly success bonus based on company performance. Home office setup including fast internet, large monitor, and your favorite keyboard and mouse. After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these). Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items. Company card for wellness budget and company expenses. Three floating holidays and unlimited (but reasonable) PTO starting the first year. Fun company off-sites! We are proud to be an equal opportunity employer.

What is Reach Financial? Reach Financial is a financial services provider that is helping people outsmart debt for good. We deliver innovative financial products using modern technology and tools to enable our customers to take control of their debt and de-mystify their personal finances. Our platform empowers our customers to turn their financial goals into a reality. Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans, and together these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers’ personal finance challenges. About the role: As a data engineer at Reach, you’ll be working on our data platform modernization effort alongside our existing Data Engineering team. You’ll be a key contributor to our holistic data practice, implementing pipelines, models, transformations and more as we look to finish our ongoing modernization of Reach’s legacy data stack and begin a new era of cohesive data design and management as part of the greater Engineering organization. Compensation: The range for this position is $150,000 - $200,000 annually. The salary offered will be based on experience, qualifications, and geographic location. What you will do: Develop and manage data pipelines, models, schemas, and data artifacts as a core contributor on our data squad Champion best practices in data engineering, including data quality, version control, and documentation Work alongside our Data Engineers as well as peer Software and Platform Engineers to evolve and enhance existing best practices and infrastructure Partner with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical solutions Stay up-to-date on the latest data engineering tools and technologies, and help evaluate new solutions to optimize our data ecosystem Collaborate with Platform engineers to ensure seamless integration and deployment of data pipelines via common CI/CD toolkits like Terraform and Github Actions Monitor and troubleshoot data pipelines, proactively identifying and resolving issues Develop and maintain documentation for data pipelines and processes What you should have: 5+ years of hands-on experience in data engineering, working with dbt (Core or Cloud), Snowflake, Amazon RDS , PostgreSQL, etc Extensive knowledge of SQL and NoSQL data stores Production experience working with and managing a Snowflake deployment Experience extracting information from SaaS systems like Salesforce using ETL tools like FiveTran Production experience using dbt Cloud or other source-driven transformation management tools Experience with Infrastructure as Code and Database Change Management tooling Experience with operational database management, including backup, recovery, tuning, data modeling, scaling Demonstrated experience with Python, Java, Scala, or similar languages Must be self-motivated, focused, and highly committed to delivering value Nice to haves: Experience preparing data for analysis in Tableau, Sigma, or other BI tools Experience with reverse ETL tools such as Census, Hightouch, etc Familiarity with DBT coding conventions and Medallion data architecture (i.e. Bronze, Silver, Gold data layers) Experience working in the Financial Services industry and familiarity with working in a SOC2 and PCI-DSS environment. What is it like working at Reach Financial? Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that. We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives. What benefits will you receive? Healthcare, Life Insurance, 401k Match Paid Time Off, Paid 12-week Parental Leave Disability (short-term, long-term), Employee Assistance Program Spending Accounts (Transit/Parking, Medical, Dependent Care) Insurance Discounts (home, auto, pet) Reach Financial is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit, and business needs at the time.

• Develop the Policy Journal: Be a primary builder of our master data solution that unifies policy, commission, and accounting data. • Ensure Data Quality and Reliability: Implement robust data quality checks and monitoring. • Build the Foundational Analytics Platform: Implement and enhance our new analytics framework. • Modernize Core ETL Processes: Refactor existing Java & SQL (PostgreSQL) based ETL system. • Implement Data Quality Frameworks: Build and execute automated data validation frameworks. • Collaborate and Contribute to Design: Partner with product managers and stakeholders to understand requirements.