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Data Engineer (Analytics Focus)

Salary

$105k - $147k

Min Experience

5 years

Location

united states-arizona-phoenix 9363 e bahia dr 9363 e bahia dr scottsdale 85260, united states-oregon-portland, united states-ohio, united states-oklahoma, united states-arizona-scottsdale, united states-nevada, united states-texas

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Are you an exceptional Data Engineer (Analytics Focus) with a passion for building robust data solutions and optimizing performance? Do you thrive in a collaborative environment and have a strong knack for translating data requirements into efficient designs? Are you analytical and curious? If you're excited about being part of a world-class Data Science team that specializes in inbound data and are skilled in Python, SQL, Apache Spark, data architecture, and more, we want to hear from you! Key Responsibilities Collaborate with data scientists and analysts to understand their data needs and create data solutions that support their analytical and reporting requirements Design and implement efficient and scalable ETL processes to move and transform data from source systems to data warehouses or data lakes Develop and maintain data pipelines to efficiently ingest, process, and transform data from diverse sources Utilize your expertise in Python and SQL to manipulate and analyze large datasets, ensuring data quality and accuracy Leverage your intimate knowledge of Apache Spark to optimize data structures and processing performance, contributing to enhanced data processing capabilities Collaborate closely with data teams to understand source applications and stored data structures to translate them into effective enterprise data architecture and design Serve as a data architect, designing and implementing solutions that align with business objectives and data strategy Exploratory Data Analysis to inform design decisions of data assets Work with various APIs to extract data from external sources and integrate it seamlessly into our data ecosystem Demonstrate your proficiency in automating data pipelines, using Azure Synapse and Data Factory to streamline data workflows Apply your skills in relational modeling to design and maintain data models that support reporting and analytics needs Participate in the continuous improvement of data engineering practices, staying up-to-date with industry trends and best practices Explore and implement new technologies, tools, and frameworks that enhance the data engineering and processing capabilities of the team Hands-on experience with Power BI demonstrating how data architecture leads to efficient reporting and analytical tools

About the company

Consumer Cellular is the top-rated wireless provider that provides cellphones and no-contract service plans primarily to those 50+. Founded over 25 years ago on the belief that everyone should have affordable access to the safety and convenience of cellular service, they have become well known for their 100% U.S. based, award-winning customer support. Consumer Cellular has been honored by J.D. Power as #1 in Customer Service among Value MVNOs, 18 Times in a Row, making it the Most Awarded Brand for wireless customer service. In 2024, the company was also ranked #1 in network coverage and customer satisfaction among wireless carriers from ACSI. Additionally, the company has been ranked on the Inc. 5000 list 12 times

Skills

python
sql
apache spark
data architecture
data engineering
etl
azure synapse
data factory
data modeling
power bi