Senior Data Engineer

Wavicle Data Solutions

Senior Data Engineer at Wavicle designing and implementing data pipelines in cloud environments. Leading data integration projects with a focus on AI-driven decision-making and optimized data processing.

Posted 5/6/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $160,555 - $180,555 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSAzureBigQueryCassandraCloudETLGoogle Cloud PlatformHadoopJavaMongoDBOraclePySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Create the conceptual, logical and physical data models.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc.
Lead and/or mentor a small team of data engineers.
Design, develop, test, deploy, maintain and improve data integration pipelines.
Develop pipeline objects using Apache Spark / Pyspark / Python or Scala.
Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services.
Load and performance test data pipelines built using the above-mentioned technologies.
Communicate effectively with client leadership and business stakeholders.
Participate in proposal and/or SOW development

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Electronics Engineering, Data Science or related field of study plus 5 years of experience in related occupations is required.
5 years of experience in the following: Designing and implementing data pipelines in a cloud environment; Object-oriented programming using Scala, Python, R, or Java.
4 years of experience in the following: Using SQL to write complex, highly-optimized queries across large volumes of data.
3 years of experience in the following: ETL pipeline implementation using AWS, Azure or GCP services; Designing/implementing solutions using one or more of the following databases: Snowflake, AWS Redshift, Synapse, Big Query, Oracle, SQL Server, Teradata, Netezza, Hadoop, Mongo DB or Cassandra.
2 years of experience in the following: Cloud platforms: AWS, Azure, or GCP.
Telecommuting is permitted. 40 hours/week.Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref# 37814 for consideration.

Benefits

Comp & perks

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D
Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long-Term Disability
Employee Assistance Program
Training & Development
Work From Home
Bonus Program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingdata integration pipelinesApache SparkPysparkPythonScalaSQLETLcloud environmentobject-oriented programming

Soft Skills

leadershipmentoringcommunication

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data EngineeringBachelor's degree in Electronics EngineeringBachelor's degree in Data Science