Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
Build cloud-native solutions using Azure, Databricks, and big data technologies.
Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.
Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.
Design and implement modern data platforms and scalable data pipelines to enable better data-driven decisions.
Develop and maintain ETL/ELT pipelines using SQL, Spark/PySpark, and Microsoft Fabric or Databricks.
Work closely with data architects, BI developers, and customer stakeholders in an Agile environment.
Tieto, through MentorMate, creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. The company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of data.
Develop distributed data processing applications using Apache Spark on Databricks and build real-time streaming pipelines with Apache Kafka.
Apply software engineering best practices to data pipelines including CI/CD, automated testing, and peer code review.
InPost is an e-commerce parcel delivery company that operates a network of Automated Parcel Machines (APMs) and pick-up points across nine European countries. Founded in 1999, the company employs thousands and fosters a diverse, international, and cross-functional culture with opportunities for growth and training.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Leverage test-driven development to deliver backend systems and user interfaces for healthcare data integration.
Design, implement, and maintain data models, ETL processes, and APIs for performance and scalability.
Contribute to automated testing suites and optimize data operations for integrity and security.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. With a collaborative, remote-first culture, the team is focused on improving public health outcomes through service design and skilled engineering.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.
Perform tenant discovery, requirements gathering, source profiling, and security classification for new data intake requests.
Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.
M9 Solutions provides IT services and solutions to the Federal Government, mobilizing skilled people and technologies for improved performance and sustainable change. With 15+ years of proven delivery and growth, the company has been recognized as an Inc. 5000 Fastest-Growing Private Company multiple times and values diverse perspectives.
Design, build, and maintain complex data processing systems ensuring data integrity and optimizing pipelines for efficiency and scalability.
Provide mentorship for junior team members and lead by demonstrating best delivery practices.
Proactively identify improvement opportunities for dashboards and support clients in solving critical business challenges.
Incubeta is a marketing intelligence company that helps businesses leverage data and technology to drive digital growth. They are an equal opportunity employer with a focus on diversity and inclusion, and they foster a culture of collaboration and continuous learning.
Develop, maintain, and optimize Power BI dashboards and reports for accuracy and usability.
Write, optimize, and maintain SQL queries and Python scripts for data extraction, transformation, and analytics.
Support data engineering teams in ingestion and transformation pipelines across Data Lake layers.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. They partner with various companies to manage applications and streamline the hiring process.
Design and build critical data infrastructure to onboard a new marketing mix modeling and incrementality testing vendor.
Translate external vendor schema into a production-ready data mart, bridging internal DTC data with external ingestion.
Manage full merge request workflow using GitLab, adhering to strict peer review processes before deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. The team of 600+ highly skilled tech professionals based in Latin America drives digital disruption by partnering with U.S. companies on impactful projects.
Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
Process and integrate data from multiple formats and sources (JSON, CSV, XML).
Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.
I lack information about the company from the job posting. Please provide information about what the company does, size/employees, and culture, and I will fill this section out.
Execute data migration, quality improvement, and analytics-ready data preparation in Azure Government Cloud.
Design ETL/ELT processes, cleanse datasets, and validate migrated data through reconciliation checks.
Support data integration, governance, and documentation for modernization engagements.
TrueTandem is a trusted information technology solutions provider committed to the success of its customers, communities, and employees, delivering innovative, cost-effective solutions through technology implementation, integration, and optimization. The company is a 17-year Certified Small Business and Microsoft AI Cloud Solutions Partner serving well-known companies, nonprofits, and federal agencies across the United States.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
Architect and evolve our CI/CD processes - enhancing the testing environment and observability.
Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.
Design, build, and maintain data-processing automations including ETL, Power Platform solutions, and Azure services.
Develop and maintain data ingestion pipelines, BI reporting, and Power BI semantic models for scalable data operations.
Manage Azure resources, Power Platform environments, and ensure security and compliance across data workflows.
Beyondsoft is a mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor business solutions. With a global team of diverse experts across four continents, the company fosters a culture of collaboration, transparency, and accountability.