

Syncredible Solutions
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is remote. Requires 7+ years in data engineering, strong Python and AWS skills, and AI/ML integration experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
June 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#SQL (Structured Query Language) #PySpark #BI (Business Intelligence) #Cloud #Pandas #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Computer Science #Debugging #dbt (data build tool) #Snowflake #Microsoft Power BI #Python #Spark (Apache Spark) #ML (Machine Learning) #Databases #Batch #Data Engineering #Deployment #AI (Artificial Intelligence) #DMS (Data Migration Service) #ECR (Elastic Container Registery) #Libraries #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.
Notes from client:
β’ This role extends a python application framework: multi-module package system with static typing, robust test suite, build systems, deployment systems, and a plugin architecture to develop pipelines. The shape we need is closer to an application engineer who works on data systems than a data engineer who can use some Python.
β’ AI/ML platform experience, one of the big differentiators for someone to make an impact in this role.
Two things that would help going forward:
β’ Python bullets describing SDKs, frameworks, services, building APIs, libraries, or plugin systems are typically qualified. Python bullets describing just ingestion, ETL, scripts, pyspark/pandas, or other glue typically arenβt.
β’ Production AI/GenAI experience shipped is meaningful for this role (integrating GenAI into data product offerings, development processes, etc.)
Minimum Qualifications
β’ 7+ years of data engineering experience from requirements through production and maintenance
β’ Bachelorβs Degree in Computer Science or related degree or equivalent experience
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’ Demonstrated experience as a technical authority by driving architecture decisions, setting engineering standards, and mentoring engineers
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.)
β’ Experience working in a complex, fast-moving environment as part of a small, collaborative team
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.
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.
Notes from client:
β’ This role extends a python application framework: multi-module package system with static typing, robust test suite, build systems, deployment systems, and a plugin architecture to develop pipelines. The shape we need is closer to an application engineer who works on data systems than a data engineer who can use some Python.
β’ AI/ML platform experience, one of the big differentiators for someone to make an impact in this role.
Two things that would help going forward:
β’ Python bullets describing SDKs, frameworks, services, building APIs, libraries, or plugin systems are typically qualified. Python bullets describing just ingestion, ETL, scripts, pyspark/pandas, or other glue typically arenβt.
β’ Production AI/GenAI experience shipped is meaningful for this role (integrating GenAI into data product offerings, development processes, etc.)
Minimum Qualifications
β’ 7+ years of data engineering experience from requirements through production and maintenance
β’ Bachelorβs Degree in Computer Science or related degree or equivalent experience
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’ Demonstrated experience as a technical authority by driving architecture decisions, setting engineering standards, and mentoring engineers
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.)
β’ Experience working in a complex, fast-moving environment as part of a small, collaborative team
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.






