Syncredible Solutions

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a competitive pay rate. It's a remote position in the USA, requiring 7+ years of data engineering experience, expertise in SQL, DBT, Snowflake, Python, AWS, and AI integration.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
June 10, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Strategy #BI (Business Intelligence) #Cloud #Scala #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Debugging #Docker #dbt (data build tool) #Snowflake #Microsoft Power BI #Python #ML (Machine Learning) #Databases #Data Science #Batch #Data Engineering #Code Reviews #AI (Artificial Intelligence) #Airflow #DMS (Data Migration Service) #ECR (Elastic Container Registery) #Datasets
Role description
About the Company At Syncredible Solutions, we believe in the transformative power of technology. We specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services. About the Role We are currently looking for Sr Data Engineer. Please find the details below and reach out to me at shashank.v@syncrediblesolutions.com for further details. Title: Sr Data Engineer Remote, USA Job Summary The Senior Staff Data Engineer is the technical owner of Client’s data platform, responsible for defining architecture. You will partner directly with engineering, product, data science, and business stakeholders to translate complex business needs into scalable technical solutions. You must navigate ambiguity, scope undefined problems, and drive them to completion independently. A strong emphasis on AI, both integrated in the development workflow and user-facing capabilities. Position Responsibilities Drive adoption of AI-assisted development practices and build AI-driven capabilities that β€’ Partner with executive, product, engineering, and business stakeholders to translate complex business needs into technical strategy and delivery plans β€’ Provide hands-on technical mentorship to data engineers through code reviews, architecture discussions, and knowledge sharing β€’ Navigate ambiguous, undefined problems by scoping them independently and delivering solutions aligned with business priorities β€’ Design, build, and maintain data infrastructure for extraction, transformation, and loading from a wide variety of sources using AWS, DBT + SQL on Snowflake, Python, Docker, and Airflow. Minimum Qualifications β€’ 7+ years of data engineering experience from requirements through production and maintenance β€’ Strong experience building, optimizing and debugging data models, pipelines and data warehousing using SQL, DBT and Snowflake β€’ 7+ years of experience writing production software in a cloud-native environment using Python and AWS services (S3, Batch, ECR, DMS, MWAA) β€’ Experience integrating AI/ML tools into development workflows or building AI-driven data products β€’ A successful history of transforming, processing and extracting value from large disconnected, datasets from a variety of data sources (Flat files, Excel, databases, APIs, etc.) Preferred Qualifications: β€’ Insurance industry systems and technology experience β€’ Experience building AI/ML pipelines or leading AI adoption initiatives across engineering teams Location: Remote (USA) Work Mode: Remote Pay range and compensation package Payrate is open for right candidates based on their experience Equal Opportunity Statement Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.