5 AWS Data Engineer - Onsite - W2 Jobs in Dallas, TX

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AWS Data Engineer - Onsite - W2

Emergere Technologies

Dallas, TX | Full Time

$113k-139k (estimate)

1 Week Ago

Only W2 - Senior Azure Data Engineer (Expert) - Dallas, TX

SPIN Analytics and Strategy

Dallas, TX | Full Time

$113k-139k (estimate)

1 Week Ago

Data Engineer in Phoenix AZ, Chandler AZ, Dallas TX(Hybrid)- Only W2 canddidates

Saksoft

Dallas, TX | Full Time

$113k-139k (estimate)

5 Days Ago

Data Engineer (W2)

Tek Ninjas

Dallas, TX | Full Time

$118k-145k (estimate)

1 Month Ago

Senior Data Engineer (AWS)

Publicis Groupe

Dallas, TX | Full Time

$103k-130k (estimate)

2 Months Ago

AWS Data Engineer - Onsite - W2

$113k-139k (estimate)

Full Time 1 Week Ago

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Emergere Technologies is Hiring an AWS Data Engineer - Onsite - W2 Near Dallas, TX

Job Details

Position: AWS Data engineer

Location: Remote

Duration: Long Term

3 to 4 years of experience as a AWS data engineer. Need to be strong in Python, ETL, AWS, Redshift, Airflow -

Description:

We are looking for a talented Data Engineer with Healthcare IT experience in our Data Operations team, where you will play a pivotal role in shaping the future of the data platform while thriving in a fast-paced environment that encourages personal growth and development.

Responsibilities:

Work in the Data Operations squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes.
Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements.
Work closely with the development team in building Innovative, API first, cloud native solutions using AWS platform.
Design, build, and optimize data storage solutions using AWS DynamoDB, AWS S3, Lambda, Glue, Athena & Redshift and other relevant technologies.
Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality.
Optimize and fine-tune existing data pipelines for performance, scalability, and reliability.
Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes.
Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices.
Strong understanding of serverless architecture and the ability to design and implement serverless data processing solutions.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Effective communication skills to collaborate with technical and non-technical stakeholders.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3 years of experience in data engineering roles, with a strong focus on Python application development and data processing.
Proficiency in Python programming and experience with relevant frameworks (e.g., Pandas, NumPy, etc.).
3 years experience with automation of DevOps build using GitLab/Bitbucket/Jenkins/Maven.
3 years experience AWS cloud and AWS services such as S3 Buckets, Lambda, API Gateway, DynamoDB, SQS queues and Redshift.
3 years experience with batch job scheduling and identifying data/job dependencies.
Understanding of Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow.
Experience in Software Engineering and Development.
Understanding of database schema design.
Proficient in one of the coding languages (Python, Java, Scala).
AWS certifications are a plus.