This page tracks remote data engineer openings that are location-eligible for Ohio.
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• Architect and own the enterprise AI data platform — the unified, governed layer that ingests, transforms, stores, and serves all data consumed by AI systems across the organisation. • Design multi-domain data models (lakehouse, data mesh, event-driven) that are structured from day one to serve AI workloads: clean lineage, versioned schemas, well-documented contracts, and low-latency serving APIs. • Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an experienced Big Data Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for: - Ingesting, transforming, and analyzing massive volumes of structured and unstructured data - Supporting enterprise analytics, machine learning, and reporting workloads The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline - Five or more years of professional experience designing and operating big-data pipelines on Hadoop - Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments - Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem - Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink - Strong SQL skills and experience working with both relational and NoSQL data stores - Experience with workflow orchestration tools such as Airflow or Oozie - Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance - Strong scripting skills in Python or Shell - Excellent troubleshooting, debugging, and documentation skills Requirements - Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks - Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi) - Exposure to data governance tooling such as Apache Atlas or Collibra - Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino) - Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Transform Your Business with Expert Analytics / Data Virtualization, RPA, BI, and AI/ML Solutions
• Work with enterprise data architecture and systems. • Support IRS modernization initiatives. • Migrate legacy data structures. • Ingest data with ALC and RTF. • Design high-volume data pipelines. • Collaborate on enterprise integration and orchestration tools.
• Senior Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will continue to develop your leadership, technical guidance, and mentoring skills. • With minimal oversight from leadership, you will design, build, and optimize scalable data solutions that support business and customer needs while ensuring projects meet scope, schedule, and delivery commitments. • Contribute to the long-term data strategy of the program, influence architectural decisions, and collaborate closely with software engineers, product managers, analysts, architects, and stakeholders to deliver reliable, secure, and scalable data platforms. • Serve as the primary data engineering lead for initiatives and utilize strong leadership and communication skills to drive improvements in data engineering processes, platform reliability, and engineering best practices. • Evaluate and recommend multiple technical approaches to solve complex data engineering and architecture challenges. • Design, develop, maintain, and optimize scalable data pipelines supporting both batch and real-time processing. • Design and implement robust ETL/ELT workflows that transform raw data into reliable, consumable datasets. • Build and maintain scalable data models, data warehouses, and cloud-native data architectures. • Generate data architecture recommendations and successfully implement approved solutions. • Ensure data quality, integrity, governance, lineage, security, and observability across data platforms. • Optimize database performance, query execution, storage strategies, and overall system scalability. • Diagnose and resolve production issues while implementing long-term improvements to increase system reliability and performance. • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. • Present technical designs, architecture diagrams, and implementation strategies to clients, stakeholders, partners, and engineering teams. • Champion data engineering best practices, coding standards, automation, and operational excellence. • Mentor junior engineers through technical guidance, code reviews, design discussions, and knowledge sharing. • Lead small projects or serve as the technical lead for data engineering initiatives when needed. • Effectively communicate technical challenges, risks, and progress with engineering teams, leadership, clients, and stakeholders. • Participate in technical interviews and contribute to hiring decisions.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including: - Cluster sizing - Configuration - Security - Automation - Observability - Developer enablement The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will be expected to raise the bar through: - Code review - Design review - Mentorship of more junior engineers The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of experience operating Apache Kafka or Confluent Platform in production. - Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups). - Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC). - Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB. - Experience with HA/DR strategies for Kafka. - Strong scripting skills in Python, Bash, or Go. - Hands-on experience with infrastructure-as-code (Terraform, Ansible). - Working knowledge of observability tooling for Kafka. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Confluent Certified Administrator or Developer credentials. - Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator). - Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API). - Familiarity with stream processing frameworks (Flink, Spark Streaming). - Experience with data governance and lineage for streaming data. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including: - Recruitment - Hiring - Training - Compensation - Promotion - Transfer - Leaves of absence - Termination - Layoffs - Recall BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
We securely connect everything to make anything possible.
• Designing, developing, and optimizing high-performance data plane software using modern C/C++ on Linux-based systems • Developing networking software for DPU-based Smart Switch platforms • Troubleshooting complex software defects, networking issues, and customer-reported problems • Leading technical design discussions and participating in architecture and code reviews • Collaborating with cross-functional engineering teams to deliver innovative networking and security capabilities
Role Description ApartmentIQ is seeking a Data Quality Lead to oversee the processes, controls, and team responsible for maintaining the quality of the data used across our products. This is a hands-on leadership role responsible for: - Investigating data issues and identifying root causes. - Improving quality-control processes and reporting on overall data health. - Working closely with Product and Engineering to improve internal tools. - Experimenting with AI-assisted workflows that make data operations more efficient and scalable. - Hiring, developing, and managing a team of data quality analysts as the function grows. Responsibilities - Lead the investigation and resolution of data quality issues. - Conduct root cause analysis and partner with Product and Engineering on corrective actions. - Develop and maintain data quality controls, review processes, and operating procedures. - Experiment with automated and AI-assisted workflows used to support data quality operations. - Help identify, test, and implement new tools and agents that improve team efficiency and accuracy. - Establish reporting and metrics to monitor data quality, workload, and team performance. - Identify recurring issues, operational risks, and opportunities for process improvement. - Prioritize and manage data quality workflows to ensure issues are addressed efficiently. - Communicate findings, trends, and recommendations to stakeholders across the organization. - Build, manage, and develop a team of data quality analysts as the function expands. - Maintain clear documentation and consistent operating standards across the team. Qualifications - 4+ years of experience in data quality, data operations, analytics, research, or a related field. - Strong analytical, investigative, and problem-solving skills. - Experience conducting root cause analysis and translating findings into actionable recommendations. - Proficiency with SQL, spreadsheets, and business intelligence or reporting tools. - Experience developing or improving operational processes and quality controls. - Comfort working with automation and AI-assisted tools. - Strong written and verbal communication skills, including the ability to work effectively with technical and non-technical stakeholders. - Ability to balance hands-on execution with team leadership and longer-term process development. Preferred Qualifications - Experience leading, managing, or mentoring analysts. - Familiarity with AI agents, automated workflows, or human-review systems. - Familiarity with data collection and processing pipelines. - Experience in multifamily housing, real estate, or proptech. - Experience building a data quality or data operations function. Benefits - Remote-First: Freedom to work from home across most of the U.S. with in-person offsites. - Competitive Compensation: Competitive salary that reflects your impact and expertise. - Paid Time Off: Flexible vacation policy and dedicated paid parental leave. - Your Health Matters: High-quality Medical, Dental, and Vision insurance plans. - Peace of Mind (On Us): 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance. - Protection for Your Whole Crew: Access to supplemental insurance and specialized coverage for pets. - Invest in Your Future: 401k Program to help build for the long term.
• Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure modes that come with running data systems for hundreds of partner organizations on a non-negotiable political calendar • Extend our data platform and orchestration layer, and optimize it for cost, runtime, and reliability so it holds up during the elections, with millions of outreach attempts • Lead projects that span multiple systems and teams — scoping, designing, and driving them to real milestones • Hold the bar on quality — test and validate your own work, review teammates' code, and mentor through that review • Document and communicate — make your systems understandable to teammates, stakeholders, and non-engineers • Rotate through on-call and rapid response, including evenings and weekends during high-stakes moments like election cycles
Every immune system has a story to tell; the key is knowing how to listen.
• Define and maintain data architecture standards, principles, patterns, and best practices across key business and data domains. • Assess and rationalize critical data sources based on business value, quality, ownership, usage, sensitivity, lifecycle, and strategic importance. • Design conceptual, logical, and physical data models that support operational systems, analytical platforms, reporting, data products, and integration needs. • Establish reusable data structures, canonical data models, reference data patterns, and integration approaches to improve consistency across systems. • Define architecture patterns for data ingestion, transformation, storage, consumption, sharing, retention, and lifecycle management. • Partner with data engineering teams to translate architecture into scalable pipelines, curated datasets, data marts, reusable services, and platform-ready data assets. • Drive standards for metadata, lineage, business definitions, data ownership, data quality rules, documentation, and data observability. • Support governance practices by helping define how data should be classified, secured, cataloged, retained, and accessed. • Work with application and platform teams to improve interoperability across source systems, APIs, data warehouses, data lakes, lakehouses, and cloud platforms. • Guide teams in designing reusable and trusted data assets that can serve multiple consumption patterns, including reporting, analytics, automation, machine learning, and AI-enabled solutions. • Provide architecture guidance during solution design, data quality investigations, platform modernization, and data integration initiatives. • Communicate architecture decisions, tradeoffs, standards, and design recommendations clearly to technical teams and senior stakeholders. • All other duties as assigned
Turquoise Health is a computer software company that is on a mission to simplify administration “to reduce the cost and complexity of healthcare.” As an emp
• Own performance investigations across the product and data stack, moving from slow queries or poor user experiences to measurable root causes and production improvements • Design and evaluate data architecture changes • Partner with Product, frontend, and backend engineers to adapt product behavior to the characteristics of the underlying data through techniques such as request batching, debouncing, caching, pagination… • Develop representative benchmarks for important combinations of filters, datasets, and product workflows • Measure query latency, throughput, concurrency, and infrastructure consumption, with particular attention to datastore performance and cost (we use ClickHouse Cloud) • Evaluate the likely performance impact of upstream dataset changes before they reach production • Assess future product requests and recommend technical or product approaches that balance functionality, responsiveness, scalability, and cost • Prototype competing solutions, clearly communicate their tradeoffs, and validate the selected approach in production • Improve performance instrumentation, monitoring, and regression detection across data-powered product experiences • Establish reusable patterns and capabilities as the Data Product platform becomes a supporting layer for additional products and teams
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Python, AWS, Azure, Cloud, SQL, Java
