Lead the end-to-end design and delivery of scalable data pipelines and data solutions using Snowflake, dbt, and Python on AWS.
Translate business and data requirements into technical designs, data flows, and integration patterns to ensure high-quality, maintainable data products.
Coordinate Data Operations support, mentor colleagues, and drive automated monitoring and incident response to improve reliability and efficiency.
Build and maintain ELT pipelines using Snowflake and dbt to power the company's data platform.
Own the reliability and performance of the data stack, including testing, monitoring, and alerting.
Collaborate with internal teams and external clients to translate business needs into durable data solutions.
Jump is transforming the live sports experience with an end-to-end fan engagement platform for sports teams and venues. They are a remote-first team backed by top investors, driven by values of trust, teamwork, and innovation.
Manage and mentor a multi-disciplinary team of data engineers and data scientists, fostering collaboration and technical excellence.
Oversee the design and maintenance of scalable data pipelines and data architecture to ensure timely data availability.
Partner with analytics and product teams to define data strategy and enforce data quality standards using Snowflake and Looker.
InStride Health delivers specialty anxiety and OCD care for children and families, combining evidence-based clinical care with innovative technology. The company is a fully remote, mission-driven team that values collaboration, humility, and community.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Lead client discovery sessions to translate business challenges into scalable Data & AI architectures.
Design enterprise-grade solutions and guide engineering teams from design through production deployment.
Act as a trusted technical advisor, applying AI throughout the software development lifecycle to improve outcomes.
The company provides data and AI solutions to enterprise clients. It is a remote-first global team with a culture of transparency and continuous improvement.
Build and maintain trusted data products using Snowflake, dbt, and Fivetran.
Design scalable data pipelines and improve data quality, observability, and governance.
Partner with stakeholders to turn ambiguous data needs into reliable platform capabilities.
Granum is the leading software company serving landscapers and arborists across North America, providing industry-specific solutions for estimating, scheduling, and invoicing. We have a collaborative, innovative culture and have been recognized multiple times as a Best Place to Work, with a team of around 100-200 employees.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Build and run the data platform, including Snowflake administration, access governance, and ingestion orchestration.
Set technical direction for the medallion architecture, dbt project standards, and reliability practices.
Mentor engineers and analysts, establishing the technical bar for data engineering at Eve.
Eve is redefining legal technology for plaintiff law firms, providing AI-powered solutions that handle cases from intake to resolution. Trusted by over 1000 law firms and backed by $160M from top investors, the company is growing rapidly with a world-class team.
Lead the strategy and architecture of Alto's data platform, ensuring high-quality data fuels analytics and machine learning.
Manage and grow a high-performing data engineering team, fostering technical excellence and cross-functional partnership.
Drive data governance, reliability, and innovation in a regulated healthcare environment.
Fuze Health is a digital healthcare company that connects patients with care providers and resources through technology. It combines industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy to create a unified force in healthcare.
Lead the design, development, and optimization of scalable ETL/ELT pipelines and the Snowflake data warehouse.
Establish engineering standards for code quality, testing, and deployment while mentoring team members.
Partner with stakeholders to translate data needs into a prioritized roadmap and deliver trusted data solutions.
Magna Legal Services is a trusted nationwide partner delivering comprehensive legal support to law firms, corporations, insurance carriers, and government agencies. The company fosters a culture where talented people can do meaningful work and grow their careers.
Define and maintain architectural standards for the enterprise data platform, including data modeling, pipeline design, and orchestration.
Lead the Technical Design Document process and conduct design reviews and production readiness reviews.
Guide the evolution of the core data platform stack including Redshift, Airflow, Kafka, SQL Server, and Aurora PostgreSQL.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners to bring their visions to life. The company is committed to creating meaningful social, environmental, and economic change and has earned recognition as a Great Place to Work.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Drive the technical direction of the ELT platform on a multi-quarter horizon, balancing strategic investments against pragmatic delivery.
Write design documents that anchor major initiatives and set the standard for how the team writes and reviews design work.
Mentor and coach senior engineers, set the growth path for engineers at every level, and remove constraints to enable the team to do bigger and better work.
IntusCare builds an end-to-end ecosystem for PACE programs to deliver exceptional care, strengthen financial performance, and stay compliant. We are a remote-first, distributed team committed to building a diverse and inclusive culture, passionate about the impact our platform has on dual-eligible seniors.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Analyze, process, and interpret large datasets to generate actionable insights.
Develop and maintain ingestion and transformation processes.
Design data warehouse models.
Software Mind develops innovative software solutions for companies around the globe. They are a growing company with a culture of openness, respect, and grit, building cross-functional engineering teams.
Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
Design and optimize Snowflake data models for customer engagement, segmentation, and activation.
Build pipelines syncing customer data with platforms like Braze, Hightouch, and CDPs.
Collaborate with CRM, analytics, and marketing stakeholders to create unified customer profiles.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate in a remote-first international environment with a small, rapidly scaling team focused on technology-driven recruitment.
Maintain and enhance existing data processes, ensuring reliability, performance, and scalability.
Build a full understanding of existing tables, flows, and jobs to identify improvement areas.
Drive system reliability and performance improvements across all data workflows.
The Customer provides comprehensive cybersecurity solutions to protect individuals, organizations, and communities. The company operates across various sectors, addressing vulnerabilities and ensuring protection against digital risks.