Lead Data Engineer - AWS POST NUMBER: 473876
Position Summary
This role serves as the senior technical resource within a structured data engineering team by partnering with architects and stakeholders, distributing work to team, and guiding developers on strategies, tools, and coding best practices while also providing regular hands-on development on complex situations.
This role serves as the senior technical resource within a structured data engineering team, partnering with architects and stakeholders to translate requirements into execution, distributing work across the team, and guiding developers on strategy, tooling, and coding best practices while remaining actively hands-on with complex engineering challenges.
Key Responsibilities:
- Guide team of data engineers through technical direction, code analysis, and delivery execution while also performing routine senior engineering functions.
- Design, build, and maintain scalable data pipelines and platforms within AWS, ensuring reliability, performance, and maintainability.
- Develop and optimize pipelines using AWS-native services including S3, Glue, Lambda, and EventBridge.
- Act as a connective layer between data engineering and business stakeholders, translating requirements into practical, production-ready solutions.
- Own data workflows end-to-end including ingestion, transformation, orchestration, and exposure via APIs or downstream systems.
- Implement infrastructure as code (IaC) using Terraform, contributing to repeatable and scalable delivery.
- Monitor pipeline health, troubleshoot issues, and enforce data quality, governance, and security standards within a highly regulated sector.
- Mentor engineers through code reviews, design discussions, and hands-on collaboration, continuously raising the overall team competency.
Qualifications:
- Prior experience in a lead or managerial role with the ability to influence without direct authority.
- Extensive skills within the AWS ecosystem with a focus S3, Glue, Lambda, and Event Bridge.
- Advanced experience with Python and SQL in complex production environments.
- Experience with infrastructure as code, preferably Terraform.
- Comfort working across the full data stack from infrastructure through consumption layers.
- Strong understanding of data modeling, ETL/ELT processes, and pipeline orchestration concepts and best practices.
- Previous experience in finance, banking, wealth, or similar is desirable.
- Skilled with API development and exposing data services within structured environments.
- Experience implementing or scaling Snowflake environments is a plus.
- Demonstrated communication skills and the ability to translate stakeholder business needs into technical solutions.
Additional Details
- Employment Type: Direct-Hire with Client
- Primary Schedule: Monday – Friday / 8a – 5p
- Location: Germantown, TN
- Cadence: Onsite
- Target Total Compensation: $180k – $230k
- Relocation: Assistance is available
- Engagement Status: Applicant must be currently authorized to work in the U.S. without the need for employment-based sponsorship, now or in the future, including: H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa programs.
Interested Candidates are Encouraged to Apply for Immediate Consideration!
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
EEO Notice
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Privacy Notice
Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.