Easter Seals Jobs

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview The Associate Data Engineer support the build of infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL, Azure, and AWS 'big data' technologies. The Associate Data Engineer is responsible for identifying, designing and implementing components for internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Job Responsibilities: Build and maintain optimal data pipeline architecture, visualization, analytical tools Assemble large, complex data sets that meet functional/ non-functional business requirements Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with customer teams and team management to assist with data-related technical issues and support their data infrastructure needs Create data tools for analytics and data science team members that assist them in building and optimizing our product's performance and effectiveness Work with data and analytics experts to strive for greater functionality in our data systems Assemble large, complex data sets that meet functional/ non-functional business requirements Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with customer teams and management to assist with data-related technical issues and support their data infrastructure needs Create data tools for analytics and data science team members that assist them in building and optimizing our product's performance and effectiveness Work with data and analytics experts for greater functionality in our data systems Education: Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience required Work Experience: Required: 2 plus years Data Engineering Experience building and optimizing 'big data' pipelines, architectures, and data sets Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement Experience in languages such as SQL, DAX, Python, Java, Scala, and/or Go Preferred: Experience working on Cloud Technologies like Azure Data Factory, ADLS2, Event Hub, Kafka, Databricks, Snowflake Experience performing root cause analysis on internal and external data and processes to answer specific business questions and see opportunities for improvement Experience in streaming technologies like Kafka, Spark. Well versed with GIT, CICD Pipelines, Linux * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $64,800 - $116,900 Corporate Bonus Target: 10% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.