Results for "Data Engineer"

Senior Data Engineer

Thank you for your interest in joining Solventum . Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum , people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or s

Data Engineer

We are looking for a Data Engineer to join our data platform team and help us execute, automate, and maintain the next generation of our Jellyfish data platform. You’ll be a core builder—fully autonomous, highly proficient, and responsible for translating architectural blueprints into clean, production-grade pipelines. Requirements Solid, hands-on production experience with Python, advanced SQL, and data transformation concepts Experience with data transformation concepts Knowledge of enterprise data platforms (e.g., Snowflake, Databricks, BigQuery) Understanding of environment boundaries, access keys, and performant queries Ability to write readable code, value thorough documentation, and clear data lineage Originally posted on Himalayas

Software Engineer - Data Analytics

RISE is on a mission to accelerate internet for the Philippines by providing excellent services and high-quality support to our business and wholesale partners. We focus on the efficiency of connectivity through initiatives like GetaFIX and Open Access Network, ensuring we maintain a benchmark for reliability and installation speed. Our culture is built on transparency and ownership, where team members are encouraged to exceed expectations and advance the country’s digital landscape together. As a Data Engineer, you will help us build our information system, which is used by our staff globally. The RISE mission is to accelerate the internet for the Philippines—we do this by focusing on the overall customer experience, providing excellent internet services and creating a positive impact on our partners and industry. What you will be doing Analyze and develop solutions to information needs in our business Design, develop, deploy, and test new information and data processing applications

(Senior) Product Analyst (m/f/n)

Your responsibilities: Act as a bridge between Product teams and the Data organization , translating business needs into data requirements. Partner with Product Managers to define, analyze, and interpret business and product metrics to enable clear, reliable decision-making. Own and oversee event tracking – define requirements, validate implementation, and ensure consistency over time. Collaborate with Data Engineers and Data Consultants to build and improve production-ready data models for Product Analytics. Use Databricks (SQL / Spark) to analyze business performance and user behavior , as well as present insights in Power BI. Support A/B tests by defining success metrics and interpreting results. 3+ years of experience in Product Analytics, Business Analytics, or similar analytical role. Strong SQL skills and experience working with large datasets in cloud data platforms (Databricks is a plus) Proven experience in KPI defining and Event Tracking. Familiarity with Reporting Tools (P

Data Engineer

Sleek is looking for a skilled Data Engineer to join their growing Data Platform team. The ideal candidate will design, build, and maintain robust data pipelines on Databricks and AWS infrastructure, and have experience with ETL/ELT design patterns, ingestion patterns, and database internals. Requirements 3+ years of professional experience in data engineering Strong understanding of data platform architecture: Lakehouse, Data Warehouse, Data Lake patterns Hands-on experience with ETL/ELT design patterns including batch processing and stream processing Familiarity with ingestion patterns: full load, incremental, CDC, event-driven Strong understanding of database internals — storage engines, transactions, isolation levels, locking, MVCC, query planners Proven experience supporting mission-critical OLTP workloads with high availability requirements Solid scripting skills in Bash and/or Python for automation Experience building data pipelines on Databricks (Delta Live Tables, Jobs, Noteb

Senior Director, Information Technology

City/State Norfolk, VA Work Shift First (Days) Overview: Position Overview: The Senior Director of Cloud Data Platform & Architecture will serve as the strategic leader responsible for architecting, developing, and managing the enterprise cloud data platform. This role oversees a team of cloud data engineers, architects, and analysts, setting cloud strategies, data best practices, and delivering scalable analytics solutions. The ideal candidate will demonstrate deep expertise in Microsoft Azure and Databricks, with a track record driving business transformation through the innovative use of cloud technologies and advanced analytics platforms. Key Responsibilities: Define and execute cloud data platform strategy, roadmaps, and architecture in alignment with business objectives and technology vision. Lead the design, implementation, and optimization of data platforms using Azure (Data Lake, Synapse, Data Factory, SQL, etc.) and Databricks. Establish standards for data modeling, inte

Senior Director, Data Engineering & Business Intelligence

We are looking for a Senior Director of Data Engineering & Business Intelligence to lead Wpromote’s data platform, client data products, and analytics innovation efforts. Requirements Leading and mentoring a team of data engineers, business intelligence engineers, and reporting solution engineers Overseeing the architecture and design of our BI ecosystem across internal and client-facing environments Driving innovation by exploring new APIs, data providers, and integration approaches Benefits Remote-first culture Unlimited PTO Extended Holiday break (Winter) Flexible schedules Work from anywhere options 100% paid parental leave 401(k) matching Medical, Dental, Vision, Life, Pet Insurance Sponsored life insurance Short Term Disability insurance and additional voluntary insurance Annual Class Pass credits Originally posted on Himalayas

VP of Data

The VP of Data role at 9amHealth is a strategic leadership position that requires ownership of the entire data function, including data engineering, analytics, and ML/AI. The successful candidate will lead a multi-discipline team and partner with the executive team to translate company strategy into a coherent data, analytics, and ML roadmap. Requirements 10+ years of experience in data leadership roles, preferably in healthcare or regulated industries Proven track record of owning a full data function end-to-end at scale Strong product and business instincts in addition to technical depth Experience with experimentation, causal inference, and A/B testing in healthcare contexts Familiarity with PHI/HIPAA and compliance, privacy, and security implications of data work in healthcare Strong communication and leadership skills Ability to make decisions with imperfect data and prioritize tradeoffs between platform investment, analytics throughput, and ML/AI bets Benefits Comprehensive bene

Data Architect

Data Architect Embark on an exciting journey into the realm of data engineering and architecture with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a Data Architect you will be at the heart of the organization and support our clients to take control of their data and get value out of it by defining a reference architecture for our customers. This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions..If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Engineering! 🌍🔥 Requirements Assessments of existing data components, Performing POCs, Consulting to the stakeholders Proposing end to end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integ

[ISO] Data Architect

Project – the aim you’ll have Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation. Position – how you’ll contribute Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers Establish architectural standards, design patterns, and best practices for all data domains Lead technology evaluation and selection for the cloud-native data platform stack Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities Design metadata management, data lineage, and access control frameworks in line with governance requirements Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers Represent data arch

Machine Learning Engineer

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Machine Learning Engineer (Data & AI) Remote US Time Zones (EST–PST) Role Overview We are looking for a skilled Machine Learning Engineer with a strong data engineering foundation to build, train, and deploy ML models and data pipelines across a range of complex environments. This role sits at the intersection of data and AI — you will be responsible for everything from sourcing, cleaning, and structuring data to training models, evaluating performance, and getting solutions into production. The ideal candidate thinks rigorously about data quality, understands the full ML lifecycle, and is equally comfortable working with large datasets as they are fine-tuning models or building scalable inference pipelines. Key Responsibilities Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering Develop, train, evaluate, and iterate on machin

Python Data Engineer

Our client is building an operations management platform that handles workforce planning, rostering, dispatching, and performance analytics for a large-scale field operations environment. You will own the Python engine layer, responsible for the algorithms and data processing that power the core operational workflows used daily by operations teams. This is not a typical web backend role. You will be working on constraint-based planning algorithms, large-scale data processing pipelines, and event-driven dispatch engines that operate in real time against live operational data. WHAT YOU'LL OWN: Planning engine: processing large volumes of operational schedule data through constraint evaluation, business rules, and engagement profiles to produce workforce planning demands. Built on Celery, Polars, and OR-Tools running on Azure App Service Rostering engine : generating periodic staff rosters by solving constraint problems against planning demands, employee certifications, and leave data pu

Data Quality Engineer

What is this position about? We are looking for a Data Quality Engineer with strong experience in Azure and Databricks to ensure data quality, reliability, and consistency across modern data platforms. This role focuses on validating data pipelines, implementing automated quality checks, and collaborating closely with Data Engineering and business teams to guarantee accurate and production-ready data assets. Design and implement a data quality framework across Bronze, Silver, and Gold layers — defining validation rules, threshold tolerances, and alerting standards Build and maintain automated data quality checks within Databricks pipelines — row counts, null checks, referential integrity, schema validation, and business rule assertions Own reconciliation between source systems and Databricks layers — ensuring source data lands accurately and transformations produce expected outputs Validate identity resolution outputs in the Silver layer — reviewing match rates, investigating false po

Data Engineer- Remote

Design, build, and maintain data architecture and infrastructure; develop, test, and deploy data solutions. Requirements Experience with Python Proficient in Pandas for data manipulation and analysis Experience with Pyspark for distributed data processing Familiar with Databricks for big data workloads Experience with Azure Synapse Spark for data pipelines Experience with Azure Data Factory for data integration workflows Proficient in SQL and SQL query optimization Experience with SQL Server migration Experience with Terraform for Azure (bonus) Originally posted on Himalayas

Azure Data Engineer - Remote, Latin America

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. 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. We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applicat

Azure Data Engineer - Remote, Latin America

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. 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. We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applicat

Senior Data Engineer – Cloud Data Products & Analytic Enablement

Company : Highmark Health Job Description : JOB SUMMARY ***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)*** As a Senior Data Engineer – Cloud Data Products & Analytic Enablement, you will be instrumental in transforming diverse data sources into actionable intelligence, empowering critical business decisions across our organization and within our application ecosystem. This pivotal role demands a strong foundation in data engineering principles, combined with a keen focus on analytical engineering to unlock the full potential of our data assets. You will leverage your deep expertise in Google Cloud Platform (GCP) technologies, including Managed Airflow (Cloud Composer), BigQuery, Cloud Run Functions, DataFlow, DataProc, and DataPlex, to design, build, and optimize scalable data pipelines. Your work will encompass the entire data lifecycle from ingestion and processing to modeling and orchestration, ensuring the highest standards of data quality, performance

Manager, Data Analytics - Remote

This role is contingent upon a contract award. ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models. The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement. Job Locati

Data Test Engineer

RegASK is an AI-driven solution enabling end-to-end intelligent regulatory workflow orchestration. As a Data Test Engineer, you will be responsible for ensuring the quality, accuracy, and reliability of our data infrastructure. Requirements Design and execute test cases for ETL pipelines Validate data accuracy, completeness, and transformation logic Build and maintain automated test frameworks for UI, API, and data layer testing Test Power BI reports and dashboards for data correctness Validate Azure Data Factory pipelines, Azure Functions, and related data workflows Integrate automated tests into CI/CD pipelines Collaborate with data engineers, BI developers, and product teams on test strategy Identify, document, and track defects through resolution Benefits Generous Paid Time Off 401k Matching Retirement Plan Health Insurance Vision Insurance Dental Insurance Flexible Work Schedule Originally posted on Himalayas

Data Analyst

Everbridge is seeking a Data Analyst to help transform complex business and operational data into clear, actionable insights. This role will support reporting, workforce analytics, operational analytics, KPI tracking, forecasting, and cross-functional business intelligence initiatives. The Data Analyst will work closely with business stakeholders, analytics engineers, data engineers, and leadership teams to build trusted reporting solutions, validate business logic, improve data quality, and support data-driven decision-making across the organization. The ideal candidate has strong analytical fundamentals, advanced SQL skills, experience with modern cloud analytics platforms, and the ability to communicate insights clearly to both technical and non-technical audiences. This role is well suited for someone who is detail-oriented, curious, comfortable working with evolving data workflows, and interested in using automation and AI-assisted analytics tools to improve productivity, reportin

Analytics Engineer Upto $125 hr

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth. Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior. Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases. Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets. Work independently in long focus sessions to create challenging scenarios for agent evaluation. Ensure tasks have checkable answers without open-ended essays or subjecti

Member of Technical Staff, Reporting & Statements (Data Engineer)

At Anchorage Digital , we are building the world’s most advanced digital asset platform for institutions to participate in crypto. Founded in 2017, Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions. With the first federally chartered crypto bank in the US, Anchorage Digital offers institutions an unparalleled combination of secure custody, regulatory compliance, product breadth, and client service. We’re looking to diversify our team with people who are humble, creative, and eager to learn. We are a remote friendly, global team, but provide the option of working in-office in New York City, Sioux Falls, Porto, Lisbon, and Singapore. For our colleagues not located near our beautiful offices, we encourage and sponsor quarterly in-person collaboration days to work together and further deepen our Village. Join us as a founding engineer on our Reporting & Statements team. You'll design the systems

DevOps Engineer (m/f/d)