Job summary
Job post source
This job is directly from Lead
Job overview
The Software Engineer IV - Data Analytics at Lead is a senior role focused on designing and maintaining BI tools and reporting solutions to support data-driven decisions within the fintech banking infrastructure company.
Responsibilities and impact
The role involves developing scalable BI tools, building custom front-end reporting UIs, collaborating with cross-functional teams to gather requirements, implementing semantic data models, optimizing data stores, troubleshooting BI tools, and mentoring junior team members.
Compensation and benefits
The salary range is $210,000 to $240,000 depending on geographic location, with compensation reflecting market factors; benefits include inclusive employment practices and accommodations for disabilities.
Experience and skills
Candidates need 7-10 years of software engineering experience with expertise in front-end development (JavaScript frameworks), BI tools (Tableau, Looker), advanced SQL, dimensional modeling, and data warehousing; preferred skills include cloud platforms (AWS), data warehouses (Snowflake), backend scripting, and leadership experience.
Career development
The position offers opportunities to mentor junior engineers and contribute to best practices, supporting professional growth in data engineering and front-end development.
Work environment and culture
Lead promotes an inclusive culture with equal employment opportunity, reasonable accommodations, and consideration for applicants with arrest and conviction records, reflecting a commitment to diversity and fairness.
Company information
Lead is a fintech company operating an FDIC-insured bank with offices in Kansas City, San Francisco, Sunnyvale, and New York City, specializing in embedded financial products and compliance-driven banking infrastructure.
Team overview
The candidate will join a dynamic data team collaborating with product managers, engineers, analysts, and stakeholders to build data reporting ecosystems.
Job location and travel
The company is headquartered in Kansas City, Missouri, with offices in San Francisco, Sunnyvale, and New York City; the role is hybrid and may be based in these locations.
Unique job features
The role uniquely combines front-end development with deep data modeling and BI tool expertise within a fintech bank, offering impactful work on compliance-driven financial data solutions.
Company overview
LEAD is a program initiated by Norwich Public Utilities aimed at addressing the issue of lead contamination in water service lines. The initiative involves identifying and replacing lead pipes in the Norwich, Connecticut area to ensure safe drinking water for residents. The program offers free in-home evaluations to detect lead service lines and provides resources for their replacement. This effort is part of a broader public health initiative to mitigate the risks associated with lead exposure, which can cause severe health issues.
How to land this job
Tailor your resume to highlight your extensive experience in software engineering with a focus on data reporting, BI tools, and front-end development using JavaScript frameworks like React or Angular, as these are crucial for the Software Engineer IV - Data Analytics role at Lead.
Emphasize your proficiency in advanced SQL, data modeling techniques such as star schemas and Kimball methodology, and your experience building scalable BI tools and custom reporting UIs that support business analytics and decision-making.
Apply through multiple channels including Lead's corporate careers page and LinkedIn to maximize your application visibility and ensure your resume reaches the right recruiters and hiring managers.
Connect with current employees in Lead’s data or engineering teams on LinkedIn, using ice breakers like commenting on their recent projects in fintech infrastructure or asking about their experience working on embedded financial products to start a meaningful conversation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Business Intelligence tools,' 'SQL optimization,' 'data modeling,' 'React,' and 'front-end development' to increase the chances of passing initial automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications across multiple platforms, identify LinkedIn connections to network with, and optimize your resume for ATS systems, saving you time and increasing your chances of landing the job at Lead.
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