Big data Jobs in US

Senior Data Engineer / Software Engineer Role Overview We are seeking a Senior Data Engineer / Software Engineer to serve as the onshore technical lead for a high-visibility telecom and contact center modernization initiative. Key Responsibilities Act as the hands-on technical lead for a fast-paced telecom modernization program Drive development across frontend, backend, and API layers with strong DevOps awareness Provide technical leadership and unblock offshore engineers without heavy handholding Partner with Product and Agile leadership to iterate quickly and deliver incremental value Troubleshoot and resolve complex, production-impacting issues as they arise Ensure engineering execution supports — not delays — program milestones Support integration of a modern contact center platform with downstream and legacy systems, including mainframe-based environments Maintain high standards for code quality, testing, and operational readiness Technical Environment Frontend: Angular 17, TypeScript Backend: GraphQL (Apollo Graph Router in place), API development Cloud: AWS-native stack Telecom / Contact Center: Cloud-based CX platform, IVR flows, converged communications Data: Legacy data routing to support transitional architectures DevOps: CI/CD awareness, environment readiness, operational support Required Skills & Experience 8+ years of software engineering experience with full stack ownership Strong, hands-on TypeScript experience across frontend and backend development Proven experience leading distributed and offshore engineering teams Experience with telecom, converged communications, or contact center platforms strongly preferred Solid experience with GraphQL, APIs, and cloud-native architectures Comfortable operating autonomously in ambiguous, high-pressure environments Ability to ramp quickly on new platforms and architectures (expected ~1 week) Strong troubleshooting and problem-solving skills DevOps mindset with awa...

Newsweek Recognizes Sedgwick as Americas Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Scientist (REMOTE) Data Scientist (Remote) PRIMARY PURPOSE OF THE ROLE: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage. Essential Responsiblities May Include Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders Help to build, prototype, and deploy machine learning models in sandbox and production environments Produce reports to communicate metrics and outcomes of stakeholder interest Assist with developing and maintaining end-to-end ETL data pipelines Work to explore new internal data sources and their utility within projects Communicate modeling challenges, findings, and outcomes to stakeholders Qualifications Insurance claims knowledge preferred Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering Experience writing Python or R code, and notebook environments Knowledge of common unsupervised/supervised ML techniques TAKING CARE OF YOU Career development and promotional growth opportunities.

The role of Data Operations Associate will be a vital position on the STR Data Operations Team based in Nashville, reporting to the Manager, Data Operations. The data operations team is responsible for a diverse and growing range of data types, including: Historical data Forward booking data P&L data A basic understanding of key data points across all data sets and their relevance to our clients is crucial.

This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.

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.