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Chase · 2 months ago

Software Engineer III - Data Engineer, Spark, Databricks, SQL

8181 Communications Pkwy Bldg F, Plano, TX, 75024, US

Full-time

Onsite

Mid Level

3+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. They are seeking a Software Engineer III - Data Engineer to develop secure high-quality production code, analyze large data sets, and drive improvements in software applications and systems.

BankingFinancial Services

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, equity, inclusion, and respect

Qualification

Apache SparkSQLPythonAWSDatabricksUnixGITJavaData modelingJIRAMavenJenkinsKafkaShell scripts

Required

Formal training or certification on Software Engineering concepts and 3+ years applied experience

Proven hands-on experience in Python or Java development on data platforms, including practical expertise with Apache Spark for large-scale data processing

Strong proficiency in SQL for data querying, transformation, and analysis

Experience with cloud data platform technology stacks such as AWS S3, Snowflake, and Databricks, with hands-on expertise in Spark, SQL, Unix, AWS, and data modeling

Knowledge of application, data, and infrastructure architecture disciplines

Knowledge of GIT, bitbucket, Maven, Jenkins, JIRA, Control-M or equivalent tools

Demonstrated knowledge of software applications and technical processes within a technical discipline. (e.g. cloud, artificial intelligence, machine learning, etc.)