Candidate must be physically located in metro Atlanta GA local. We are seeking a highly skilled and proactive Data Engineer to support the modernization of an enterprise data estate. This role is integral to migrating from legacy systems and developing scalable, secure, and efficient data solutions using Microsoft Fabric and Azure-based platforms. The successful candidate will contribute to data infrastructure design, data modeling, pipeline development, and visualization delivery to enable data
Work Location & Attendance Requirements: Must be physically located in metro Atlanta. On-site: Tuesday to Thursday, per manager's discretion Mandatory in-person meetings: All Hands Enterprise Applications On-site meetings Under general supervision, combines strong technical skills with knowledge of the database administration. Works on one or more projects of high complexity. The client is seeking a highly skilled and proactive Data Engineer to join our dynamic team and support the modernizatio
Title: DECAL Analytics Engineer(Hybrid) Location : Atlanta, GA Interview type: Either Web Cam or In Person Job Description The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making. Work Lo
Role Name: Data Bricks Lead Engineer- Onsite Hybrid role Location: Chicago, NY, Atlanta, Charlotte Start date: 8/18/25 Duration: 12 Months "Due to additional onboarding requirements, a meet and greet is required for all new hires. Candidates must be willing to go to the closest Capgemini, Client, or onsite location as indicated by project team to meet with a Capgemini team member prior starting their assignment. If the candidate is not local, travel covered by Capgemini. If travel is involved a
Job Role:Azure Databricks Architect Job location: Atlanta, GA Job Type: Full Time The role requires expertise in Azure services like Azure Data Lake, SQL, Cosmos DB, Data Factory, Synapse Analytics, Databricks . You will be responsible for designing, developing, and leading data engineering initiatives with lakehouse architecture. You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions. This role requires strong leadershi
Job Title: Data Quality Engineer Automation & Validation Job Description: We are looking for a Data Quality Engineer with strong experience in data validation, quality assurance, and automation testing to ensure data accuracy, integrity, and consistency across systems. The ideal candidate will have a deep understanding of automated testing frameworks and scripting, along with strong analytical and troubleshooting skills to resolve data-related issues. Required Skills: Strong understanding of dat
Need Sr. Solution Architect with Excellent Communication SkillsCandidate need to relocate to Atlanta, GA from Day 1At long last we have a contract role to work on Need to have AWS/Oracle (ideally Fusion or NetSuite) and any POS system. See below the overview of 2 roles that we MUST FILL ASAP. Role: Consultative Solution Architect (2 Roles)Client: Telecom Industry Highlights/Focus:Experienced with AWS, NetSuite (or relevant ERP), and Oracle Simphony (or similar POS)Primary focus will be helping c
Role : Data Engineer - Pi Historian Location: Alpharetta, GA Interview: 1st video / 2nd F2F Local candidates only Salary: $1,12,000 a year This is an immediate role. Looking to start someone within next 2-3 weeks. .NET/C# and Aveva Pi Historian are the absolute must have skill-sets The candidates need to have a minimum of 3 (recent) years of Pi Historian Google Cloud Platform is preferred but it is not a must. If they don t have Google Cloud Platform, they must have AWS or Azure cloud SQL Data
Responsibilities: 10+ years of experience in data engineering. Design, develop, and maintain new data capabilities and infrastructure for utilizing Verizon, third-party, and partner data to enhance Verizon's data products and solutions Design, develop, and implement scalable data pipelines and ETL/ELT processes using SSIS, Python and API integrations Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in s
Title: Sr Fullstack Developer Location: Alpharetta, GA - (Face to Face Interview-Day1 onsite role) Duration: Longterm Seeking an experienced, resourceful, full stack engineer who can adapt and hit the ground running with minimal supervision. This individual will be passionate about end-user experience and best-in-class engineering excellence and will be part of a tight-knit, distributed engineering team developing and delivering a comprehensive data operations management solution Data operatio
A New York-based media advertising software company is currently hiring a remote, contract Google Cloud Platform Data Engineer to join their engineering team. As part of the team, your primary responsibility will be to build and maintain ETL pipelines, monitor and clean data, and support the dashboard team with optimized data views. Contract - $50/hour Duration - 2+ years Location - Remote Requirements: 2+ years of data engineering experience Familiarity with Google Cloud Platform in a profess
A New York-based media advertising software company is currently hiring a remote Google Cloud Platform Data Engineer to join their engineering team. As part of the team, your primary responsibility will be to build and maintain ETL pipelines, monitor and clean data, and support the dashboard team with optimized data views. Permanent - $100K annual salary Location - Remote Requirements: 2+ years of data engineering experience Familiarity with Google Cloud Platform in a professional environment
Role - Data Engineer Only EST Time zone Location - Remote position (US or Canada) Experience: 6+ years Type: Full Time(No H1b) Key Objectives/Responsibilities: A strong understanding of common data integration challenges within the insurance industry, as well as the best practice technical approaches & solutions available through data integration, data warehouse, and data lake technologiesAbility to lead by example, having worked as a technical build resourceExperience in how technology solution
Google Cloud Platform Big query Architect Exp: 15+ years No Data Engineer please We are seeking a highly skilled BigQuery Data Architect to lead the design, implementation, and optimization of our cloud data platform. The ideal candidate will have deep experience with Google Cloud Platform (Google Cloud Platform), particularly BigQuery, and possess strong data modeling, ETL/ELT pipeline, and cloud architecture expertise. Key Responsibilities: Design scalable and secure cloud-based data architect
Data Architect || Remote or Collegeville / Philadelphia, PA || Contract Role Job Details Required Skills: Extensive experience in data engineering, data governance, or cloud data architecture.Hands-on expertise with Databricks platform, Unity Catalog, Delta Lake, and Lakehouse architecture and streaming platforms like Kafka.Strong skills in SQL, Python, Spark, and Azure cloud environment.Proven experience migrating databases and applications to Azure cloud or other public clouds.Develop data
Mandatory skills Semantic modeling and knowledge graph development Good to have skills: - Python, AWS, SQL Responsibilities: - STEM field with 7+ years of hands-on work experience with a significant portion dedicated to semantic modeling and knowledge graph development, including experience in a lead or senior capacity. Deep and demonstrated expertise in designing, building, and managing ontologies, knowledge graphs, and property graphs.Extensive experience with leading graph database platform
Data Engineer Full Time Remote role Job Summary:The Data Engineer will focus on loading data from various sources into the Data Lake and/or Data Warehouse as well as building and maintaining data pipelines.ResponsibilitiesEssential Job Duties and ResponsibilitiesProfile and analyze data from multiple sources and data types Build ETL/ELT pipelines to ingest and load data Maintain and monitor data pipelines and schedules Triage and troubleshoot data quality issues and implement corrective actions
Minimum Qualifications 10+ years end-to-end data engineering experience, 3+ years Snowflake (enterprise scale).4+ dbt projects in production (or 3 if each >12 months, multi-domain).Advanced SQL (analytic functions, dynamic pivots, query-profile debugging).Working Python (Snowpark, pandas) for ELT helpers and test harnesses.Proven delivery of executive-grade financial dashboards or data marts must demonstrate understanding of eliminations, inter-company balances, multi-GAAP roll-ups.CI/CD with Gi
o Bachelor's degree o 7+ years Varicent experience including Version 10 / SAAS o 3+ years' experience deliver in an Agile manner utilize JIRA, Confluence or similar tools o Solution architect type; ability to frame and design the why and how to of solutions o Significant experience in consulting with mid- to senior level executives o Experience with Varicent Presenter, Adaptive Reports, Workflows, Webforms and Query Optimization o Experience with Varicent ELT Data Integrator Responsibilities: Co
Key Responsibilities: Design scalable and secure end-to-end data pipeline architectures across cloud-native platforms (AWS, Azure) Build and demonstrate technical solutions using Databricks, Snowflake, Informatica, AWS Glue, etc. Integrate data validation and observability tools such as Great Expectations, Monte Carlo, or DataGaps Optimize pipeline performance, cost-efficiency, and data governance frameworks across diverse environments Collaborate with sales teams to understand client needs and
