61 applicants

Company

SECU Credit Union · 1 day ago

Data Engineer

Linthicum, MD

Full-time

Remote

Mid Level

$88K/yr - $142K/yr

3+ years exp

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Responsibilities

Implement data structures and pipelines within Snowflake to facilitate the development of reports, visualizations, data sets and analytical models.

Identify opportunities to automate and enact solutions that streamline existing processes as well as identifying ways to ensure date quality

Perform extensive quality control on all data pipelines through automated process and manual analysis, including check-ins with subject matter experts as needed.

Maintain continual understanding of current data engineering technology and methods within the analytics world and how it compares with SECU’s current capabilities.

Interview business users and analysts to understand the cases that integration solutions must support.

Provide SQL, Python and other programming-specific technical guidance to other engineers and analysts to support continued learning and development throughout the organization.

Solve data questions requiring advanced transforms, custom queries, statistical analyses, or other related tasks.

Collaborate with various groups and individuals within the organization to identify and understand their business needs and how key data sources for analytics will help meet their business challenges.

Communicate results that address the requestor’s core business questions and provide key insights and relevant action items.

Document the process undertaken for auditing and future reproducibility.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SnowflakeSQLPythonData pipelinesPowerBIData engineeringTransformation toolsOrchestration toolsStatistical techniquesCloud platformsGitHubAzure Repos

Required

Bachelor’s degree or greater in any of the following or similar areas: Data Science, Computer Science, Management Information Science, etc. Equivalent professional experience may be substituted in lieu of a degree.

3 - 5 years of data-centric programming experience as a software/data engineer, including at least one year of experience implementing data pipelines using modern tools.

Demonstrated experience with self-directed work on large and complex problems.

Experience working in a highly collaborative, team environment.

Experience communicating among multiple stakeholders and balancing multiple projects.

Advanced SQL Skills.

Software/data engineering experience with Python.

Experience with modern data warehouse frameworks, tools and architectures.

Basic understanding of statistical techniques and concepts.

Innovative, creative and forward thinking; solutions-driven.

Strong interpersonal and communication skills.

Ability to work alone or in teams as appropriate.

Familiarity with cloud platforms (ie., AWS, Azure).

Familiarity with GitHub/Azure Repos.