Data Engineer
Connect Search - Chicago, Illinois, United States, 60290
Work at Connect Search
Overview
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Overview
$65.00/yr - $80.00/yr Connect Search has a client seeking to hire multiple Fully Remote W2 AWS Cloud Data Engineers to join their team for a 2 year contract that can be extended or converted to Full Time. No Corp to Corp/H1B Open to W2 and 1099 Professionals ONLY!! Medical, Dental, Vision, and 401K for eligible employees. Hourly Range Paid Weekly - $65/hr to $80/hr We are seeking a
Data Engineer
with experience in Python development and advanced data pipeline design to join our team. The ideal candidate will have strong SQL skills, expertise in
dataframes and Pandas , experience with AWS ecosystems, and a deep understanding of enterprise data environments. Key Responsibilities: Develop, maintain, and optimize
data pipelines
for enterprise systems. Utilize
dataframes and Pandas
for advanced data manipulation, analysis, and transformation tasks. Write and execute complex
SQL queries
for data modifications and transformations, including joining and updating tables. Load, process, and manage data in
Snowflake
and establish it as the system of record. Ensure proper data ingestion and create history tracking columns in
RDS . Work within an
AWS environment , leveraging tools like
S3, RDS, DynamoDB, Lambda, and Kinesis
for data streaming and storage. Build and tweak
CI/CD pipelines
to support agile delivery in
two-week cycles . Collaborate with the dealer and enterprise data team to ingest and manage subscription data, customer information, and equipment records. Operate autonomously to execute high-priority tasks and troubleshoot complex data scenarios. Requirements: Bachelors Degree Required At Least 6 years of experience in Data Engineering Proficiency in Python
and extensive experience with
dataframes and Pandas
for data manipulation. Mid to advanced SQL skills
for developing and understanding complex queries, with the ability to write and optimize SQL for Snowflake. Familiarity with
AWS infrastructure , including data streaming and storage tools like
S3, RDS, and Kinesis . Experience with
CI/CD pipelines
and agile workflows. Enterprise data experience with an understanding of subscription models and data streaming processes. Strong problem-solving skills and the ability to work autonomously. please apply if interested!! Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
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