Senior Data Engineer at Acquisition.com

, , United States -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

209000.0

Posted On

01 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Data Pipelines, SQL, Python, AWS, Data Modeling, Cloud Architecture, CI/CD, Monitoring, Data Integrity, Data Quality, Automation, Infrastructure-as-Code, Analytics, Business Intelligence

Industry

Venture Capital and Private Equity Principals

Description

At Acquisition.com, we don’t just hire for open roles—we hire for impact. If you’re exceptional at what you do and align with our core values: competitive greatness, sincere candor, and unimpeachable character, we want to know you. Role: The Senior Data Engineer will architect, implement, and optimize data models, pipelines, and storage solutions across Acquisition.com’s data ecosystem. This individual will ensure reliability, performance, and accessibility of data, serving as a bridge between raw information and actionable business intelligence. With a lean, agent-driven development paradigm, you will take complex data initiatives from concept to delivery. We are looking for someone who loves solving data challenges, building high-impact pipelines, and continuously innovating on how data can fuel business growth. With the right architecture and technology, we will make lives easier for others. Must live in one of the states we’re registered to operate in: AZ, CA, FL, GA, IN, MD, MI, MN, NV, OH, OR, PA, TN, TX, UT, WI. Responsibilities: Design, implement, and maintain robust data pipelines using modern ETL/ELT frameworks. Develop and optimize data warehouse models to support analytics, automation, and reporting. Implement quality checks, observability, and monitoring for data integrity and reliability. Build abstractions and frameworks for scalable ingestion and transformation of structured and unstructured data. Collaborate with analytics, engineering, and leadership to deliver consistent, actionable insights. Leverage cloud-native infrastructure (AWS) and infrastructure-as-code for data storage, compute, and deployment. Continuously refine data architecture to meet evolving performance, scalability, and compliance needs. Requirements: 5+ years of experience building and scaling data infrastructure. Proven ability to design and maintain ETL/ELT workflows and distributed data systems. Expertise in SQL and proficiency in at least one general-purpose language (TypeScript, Python, or Scala). Strong knowledge of databases, data modeling, and cloud-based architectures. Experience with AWS, infrastructure-as-code, CI/CD, and monitoring/alerting systems. Familiarity with agent-driven development tools such as Cursor and Claude Code. Results: Deliver reliable data flows that support analytics, automation, and operational efficiency. Reduce manual reporting by building scalable, self-service data solutions. Improve trust in data quality and accessibility through automated validation and monitoring. Enable faster and more informed decision-making by delivering unified data assets. Ensure the organization’s data ecosystem is scalable, compliant, and future-ready. Champion data solutions that deliver immediate value and long-term innovation. Schedule: Work hours aligned with local timezone or Pacific timezone 8a-5p M-F Flexible to travel to Vegas roughly 4-6 times per year Must be flexible and able to work additional hours/weekends before workshop events/holidays if the situation warrants it Location: Remote, USA Must live in one of the states we’re registered to operate in: AZ, CA, FL, GA, IN, MD, MI, MN, NV, OH, OR, PA, TN, TX, UT, WI. Compensation: $171,000 - $209,000 base salary The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below). Benefits: Flexible Time off Policy and Company-wide Holidays Health Insurance options including Medical, Dental, Vision 401k offering for Traditional and Roth accounts with an employer match Monthly wellness allowance State of the art gym for employee use at HQ Acquisition.com Core Values Our core values are the heart and soul of this incredible company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business. Competitive Greatness Be at your best when your best is needed. Enjoyment of a hard challenge. Those who have the drive to constantly improve, the superior intellect and long term commitment to see incremental improvements become compounding returns. Sincere Candor Have the self awareness to accurately perceive and communicate hard truths that improve others and self, the courage to do so, and the humility to accept them, even when it hurts. Nothing great can be built without feedback: internally or externally. Unimpeachable Character Be the type of person with whom people are always proud to associate, personally and professionally. We look for true alignment of thoughts, words, and actions towards a goal worth pursuing.

Responsibilities

The Senior Data Engineer will design, implement, and optimize data models and pipelines to ensure data reliability and performance. This role involves collaborating with various teams to deliver actionable insights and continuously refine data architecture.