Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.
Build and optimize data pipeline architecture using SQL, Python, and AWS.
Extend the machine learning platform to support new models and analytics.
Supervise junior data engineers and guide cross-functional data initiatives.
NinjaHoldings revolutionizes financial services for everyday Americans through its CreditNinja, NinjaCard, and NinjaEdge brands. The company is a lean, innovative team with offices in Chicago and Miami, fostering a dynamic start-up culture.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources.
Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues.
Northbeam is building the world's most advanced marketing intelligence platform for top eCommerce brands, providing powerful attribution modeling and customizable dashboards. The company is experiencing rapid growth with a strong product-market fit and a remote-friendly culture.
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance, and develop dbt workflows for partner analysis.
Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products and support machine learning initiatives.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge products and services. Since 2003, the company has grown to over 2 million users and is the number one rated futures brokerage worldwide, fostering a dynamic culture focused on social connection, professional development, and employee recognition.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Design, build, and scale cloud-based data platforms that support critical business insights and operations.
Collaborate with cross-functional teams to extract, load, and transform data using cloud-native principles.
Mentor engineers and drive architectural direction through code reviews, testing, and documentation.
Credit Acceptance is a leading used car finance company in the United States. It has a world-class culture shaped by dedicated Team Members and a shared drive to succeed.
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.
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.
Analyze raw data from various sources and develop datasets, schemas, and models to improve data quality and efficiency.
Document data flows and mappings, and collaborate with data analysts, scientists, and other stakeholders.
Build reports and data dictionaries through SharePoint, and advise on updated reporting to capture and format data for other departments.
KACE leverages data-powered insights to develop strategies and technology-enabled solutions that accelerate mission success. The company is certified as a Great Place to Work, fostering an inclusive, supportive culture with talented professionals passionate about making a difference.
Design, develop, and maintain ETL data engineering processes using Python (PySpark) and Azure Synapse Analytics.
Apply expertise in data warehousing to create effective data storage structures in a Massively Parallel Processing SQL Pool.
Collaborate with cross-functional teams to understand data requirements and provide support for data-related initiatives.
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
Participate in all initiatives to satisfy compliance, security, and regulatory needs while designing and building data platform capabilities.
Implement processes and tools enabling product engineering and BI teams to consume an extensible, governed data platform.
Provide technical guidance and mentorship on data platform adoption and maintain existing software services code.
SRS Acquiom delivers a platform and services to manage complex M&A and loan agency transactions efficiently. Based in Denver with offices across the US and in London and Amsterdam, the company has supported over 11,500 transactions globally since 2007, fostering a culture of entrepreneurial energy, growth, and innovation.
Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data.
Collaborate with stakeholders to design scalable solutions and manage internal data pipelines.
Define data governance policies and leverage AI tools to streamline data pipeline development.
For over four decades, PAR Technology Corporation has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. With over 100,000 restaurants in more than 110 countries, we embrace a 'Better Together' ethos and offer comprehensive software and hardware solutions.
Design and maintain scalable data architectures, including OLTP systems and data pipelines.
Optimize database performance through indexing, query tuning, and data quality remediation.
Implement production processes including monitoring, alerting, backup/recovery, and incident response.
Mitek Systems provides identity verification solutions for financial services and other industries. The company is a global leader in mobile capture and identity verification software, employing a dedicated team focused on innovation and data-driven decision-making.
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.
Build and maintain custom integrations and ETL processes between K-12 data and internal/external systems.
Design, implement, and optimize data pipelines to support school operations.
Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. The company offers an inclusive culture with flexible PTO, comprehensive health benefits, and professional development allowances.
Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data into data warehouses.
Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
Collaborate with data scientists, analysts, and business stakeholders to deliver effective data solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on efficient and fair candidate evaluation through technology.
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.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.