Data Jobs in US

[Applicants: Over 200 applicants | Industry: Entertainment Providers | Type: Full-time | Level: Internship] ResponsibilitiesWe are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold id

We are hiring multiple Data Engineers (4+ years of experience) to help build reliable data pipelines and curated datasets that power reporting, analytics, and data products. Responsibilities Build and support data pipelines that ingest, transform, and publish data for analytics and data products.

The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing Optimize database performance, queries, and data models Collaborate with data scientists, analysts, and application teams to support data needs Ensure data quality, reliability, and security across data platforms Monitor and troubleshoot data pipeline and system issues Support data migration and integration activities Required Skills: Strong experience as a Data Engineer Hands-on experience with MEM SQL (SingleStore) Strong SQL skills and database optimization experience Experience with ETL tools and data pipeline frameworks Knowledge of data modeling and data warehousing concepts Experience working with large datasets and real-time data processing Preferred Skills: Experience with cloud platforms (AWS / Azure / GCP) Knowledge of Big Data technologies (Spark, Kafka, etc.) Telecom domain experience (preferred, not mandatory) Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-data-engineer-at-kforce-inc-4371093403","jobId":"4371093403","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-i-at-stirista-4368771535","jobId":"4368771535","label":"Data Engineer I"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-data-engineer-at-ss-c-technologies-4332855362","jobId":"4332855362","label":"Sr. Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-data-engineer-at-ranger-technical-resources-4368408519","jobId":"4368408519","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-python-%2B-pyspark-at-techaxis-inc-4363057920","jobId":"4363057920","label":"Data Engineer (Python + PySpark)"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-at-ninjaone-4344251101","jobId":"4344251101","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://www...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Senior Data Engineer #2595 Position Summary: Our partner is a global manufacturer modernizing its ERP-driven data environment into a cloud-native platform for trusted analytics and forecasting. Experience and Education: BS in Computer Science, Information Systems, Software Engineer or equivalent technical field Experience building enterprise data platforms using Databricks and Azure Background in designing and owning data models sourced from ERP systems Experience working with SAP or other large-scale ERP environments History of owning data pipelines end-to-end in production environments Exposure to forecasting, analytics, or ML-enabled data use cases Experience working with globally distributed or offshore teams Skills and Strengths: Databricks Azure Data engineering Data modeling ERP data environments SAP SQL Python Lakehouse architecture ETL design Data orchestration Data quality frameworks Performance optimization Enterprise data governance Analytics enablement Forecasting data pipelines Machine learning support Systems tradeoff analysis Cross-team collaboration Technical documentation Primary Job Responsibilities: Own the Databricks-based data engineering layer used across the enterprise Design and maintain high-quality data models sourced from ERP systems Ensure data pipelines are reliable, scalable, and performant Standardize ETL patterns, orchestration, and data quality checks Improve lakehouse performance and long-term maintainability Partner closely with BI leadership to enable trusted analytics and forecasting Support ML and advanced analytics use cases through strong data foundations Establish and reinforce enterprise data governance practices Collaborate with offshore and onshore teams to ensure consistency Decide when work requires immediate fixes versus backlog prioritization Clearly explain engineering tradeoffs across cost, performance, and mai...

We are seeking a highly skilled Data Engineer focused on building, optimizing, and maintaining enterprise-grade ETL/ELT pipelines using AWS Glue, Amazon S3, and Databricks. The ideal candidate must be located in Columbus, Ohio and have strong experience with cloud data platforms, understands large-scale data processing patterns, and can design resilient, secure, and high-performance data pipelines in a production environment What You’ll Do Build, optimize, and operate scalable ETL/ELT pipelines using AWS Glue, Databricks, Spark, and Amazon S3 Transform raw, structured, and semi-structured data into analytics-ready datasets that power BI, reporting, and advanced analytics Design and maintain modern lakehouse architectures, including bronze, silver, and gold data layers Develop Spark workloads using Python (PySpark) and SQL, leveraging Delta Lake features such as ACID transactions, schema evolution, and time travel Automate and orchestrate reliable data workflows using Glue Workflows, Step Functions, Databricks Jobs, or equivalent tools Optimize performance, reliability, and cost across clusters, jobs, and pipelines Implement monitoring, logging, alerting, and recovery processes to ensure pipeline health and data quality Apply strong data governance and security practices, including IAM, encryption, access controls, validation, lineage tracking, and compliance support (SOX, PCI, SOC2) Collaborate closely with Analytics, BI, Data Science, and Application teams to translate business needs into scalable data solutions Participate in code reviews and architecture discussions, contributing to platform standards and best practices What You Bring 3+ years of experience in data engineering, ETL development, or cloud data platforms Hands-on experience with AWS Glue, Databricks, and Apache Spark Strong proficiency in Python (PySpark) and SQL Experience building and managing data lakes on Amazon S3 Understanding of data modeling concepts, including star schema and dimensional modeling Experience with Delta Lake, lakehouse architecture, and/or Unity Catalog Familiarity with orchestration tools such as AWS Step Functions, Airflow, or equivalents Knowledge of streaming pipelines (Kafka, Kinesis, Auto Loader) is a plus Experience working with version control (Git), CI/CD pipelines, and infrastructure...

Your work will enable trusted data products, analytics, operational reporting, and future AI use cases, all through modern data architecture practices that drive innovation and business impact. Your Impact Partner with the Director, Data Architecture to implement enterprise data architecture standards and ensure consistent adoption across domains and initiatives Lead architecture design for assigned domains and initiatives, including conceptual, logical, and physical data structures aligned to business requirements and data products Define and maintain domain-aligned data definitions and semantic consistency to support a unified understanding of key business entities and metrics Develop architecture patterns that support batch and streaming use cases, including event-driven data flows and canonical representations Collaborate with data engineering teams to translate architecture designs into scalable physical implementations on AWS cloud data platforms Participate in architecture and design reviews, providing guidance, feedback, and enforcement of standards for new data products and platform changes Partner with governance teams to align architecture...