Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.
Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.
Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.
Ankura Consulting Group, LLC is an independent global expert services and advisory firm. They deliver services and end-to-end solutions to help clients at critical inflection points related to conflict, crisis, performance, risk, strategy, and transformation, and consists of more than 2000 professionals.
Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.
Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
Care Access is dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. They are working to make the future of health better for all and have hundreds of research locations, mobile clinics, and clinicians across the globe.
Work with the system engineering team to understand customer business needs and priorities.
Implement Azure cloud analytics and databases, leveraging tools such as Azure Synapse, Azure SQL, Synapse pipelines, Databricks, and related frameworks
Develop and maintain database solutions for managing structured and unstructured data.
Peraton is a national security company that drives missions of consequence spanning the globe. They deliver trusted, highly differentiated solutions and technologies to protect our nation and allies, serving as a valued partner to essential government agencies, supporting every branch of the U.S. armed forces.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Design, build, and maintain robust data pipelines.
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
Build modular data models that power analytics, product features, and LLM agents.
Jobgether is a platform that uses AI to match candidates with jobs. They aim to review applications quickly and fairly, ensuring the top-fitting candidates are identified and shared with hiring companies.
Build modern, scalable data pipelines that keep the data flowing.
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning.
Unify and wrangle data from all kinds of sources.
InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Play a key role in designing, developing, and delivering modern data solutions that drive business insight and innovation.
Implement scalable, high-performing cloud architectures that support analytics, AI, and operational excellence.
Be responsible for technical delivery, authoring solution documentation, and ensuring data pipelines and models meet enterprise standards for performance, reliability, and cost efficiency.
3Cloud is a company where people aren’t afraid to experiment or fail. They hire people who care about the collective growth and success of the company, challenging each other to live by 3Cloud’s core values, and resulting in amazing experiences and solutions for clients and each other.
Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
Model, store, and transform data to support analytics, reporting, and downstream applications.
Build API-based and file-based integrations across enterprise platforms.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Develop data warehouse applications, including extraction, ingestion, and transformation processes.
Collaborate with customers and internal teams to understand business requirements.
Ensure quality assurance and data validation, utilizing the sprint methodology.
One Model, founded by industry veterans in HR analytics, has a data-first approach to their People Analytics Platform, giving them a competitive advantage. They foster a friendly, inclusive, and respectful workplace culture, offering the opportunity to contribute significantly to a young company and team.
Design, develop, and maintain a core Python ETL framework.
Develop and optimize an automated refresh pipeline orchestrated through AWS Batch, Lambda, Step Functions, and EventBridge.
Build Python integrations with external systems that are robust, testable, and reusable.
BlastPoint is a B2B data analytics startup that helps companies engage with customers more effectively by discovering insights in their data. Founded in 2016 by Carnegie Mellon Alumni, they are a tight-knit, forward-thinking team that serves diverse industries including energy, finance, retail, and transportation.
Design, build, maintain, and operate scalable streaming and batch data pipelines.
Work with AWS services, including Redshift, EMR, and ECS, to support data processing and analytics workloads.
Develop and maintain data workflows using Python and SQL.
Southworks helps companies with software development and digital transformation. They focus on solving complex problems and delivering innovative solutions.
Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Implement data transformations and workflows using PySpark at an intermediate to advanced level.
Optimize pipelines for performance, scalability, and cost efficiency across environments.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.
Build and evolve our semantic layer, design, document, and optimize dbt models.
Develop and maintain ETL/orchestration pipelines to ensure reliable and scalable data flow.
Partner with data analysts, scientists, and stakeholders to enable high-quality data access and experimentation.
Customer.io's platform is used by over 7,500 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication and help teams send smarter, more relevant messages using real-time behavioral data; their culture values empathy, transparency, and responsibility.
Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics
Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum with an emphasis on post-acute care and primary care. Theoria serves facilities across the United States with a multitude of services to improve the quality of care delivered, refine facility processes, and enhance critical relationships.
Build modern, scalable data pipelines that keep the data flowing—and keep our clients happy
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning
Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Architect and implement Databricks Lakehouse solutions for large-scale data platforms.
Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL).
Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning).
They are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.
Maintain, configure, and optimize the existing data warehouse platform and pipelines.
Design and implement incremental data integration solutions prioritizing data quality, performance, and cost-efficiency.
Drive innovation by experimenting with new technologies and recommending platform improvements.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Lead discovery conversations to understand client goals.
Design and deliver technical roadmaps for data platform adoption.
Build modern, reliable data pipelines and ETL/ELT frameworks.
InterWorks is a tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together as they pursue innovation alongside people who inspire them.
Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They retain nearly 1000 full-time professionals, and their culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed.