Data Engineer - Mindlance

Overview

Hybrid

Depends on Experience

Accepts corp to corp applications

Contract - W2

Contract - 6 Month(s)

Skills

Python

SQL

Pyspark

Agile

Amazon Redshift

Amazon S3

Amazon Web Services

Analytics

Apache Cassandra

Apache Hadoop

Apache Hive

Apache Kafka

Apache Spark

Application Development

Big Data

Business Intelligence

Cloud Computing

RDBMS

Real-time

Scala

Databricks

Data Warehouse

MySQL

MongoDB

Streaming

Programming Languages

Microservices

Java

Machine Learning (ML)

Job Details

Job Title: Data Engineer
Location: McLean, VA- 3 Days Hybrid
Duration: 12 Months

Top Skills:
Python
SQL
Pyspark

Banking and Financial experience is preferred.

Job Description
As a Senior Data Engineer, you would join our product data team and be responsible for building and maintaining sophisticated data pipelines that ingest data from major auto customers, utilizing advanced AWS services including EMR, S3, Iceberg and Databricks. Your work will directly impact thousands of auto dealerships across the US in the way they run their business and unleash the power of data to all. With your expertise in Python and cloud-based data solutions, you will play a key role in enhancing our analytics capabilities and transforming raw data into valuable business intelligence.
What You ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Preferred Qualifications:
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices.
EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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