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Data Engineer
Proxima New York, NY
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$133k-164k (estimate)
Full Time 2 Days Ago
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Proxima is Hiring a Data Engineer Near New York, NY

Proxima
Proxima is more than just a business to us; it's a vision of transforming the consumer technology landscape and giving B2C businesses the data they need to make informed decisions that drive highly performant actions. We are empowering our customers to achieve their greatest potential with innovative, data-driven solutions.
We are a first-of-its-kind data intelligence solution that leverages artificial intelligence and a proprietary database of over 60 million (and growing) unique shopper personas to enable businesses to achieve greater scale, efficiency, and financial success across their acquisition, retention, and operational strategies. We're on a mission to help maximize their performance with AI-powered solutions that have traditionally been out of reach for most companies. We believe profitable growth starts with better data.
About The Role
As a Data Engineer at Proxima, you will be at the forefront of shaping and optimizing our data infrastructure. This role is pivotal, and will inform architecture, best practices, timelines and business and operational decision making. Working closely with cross-functional teams, you'll implement technical solutions that drive efficiency of our data processes, and troubleshoot and resolve issues.
This role isn't just about maintaining the status quo; it's an opportunity to innovate and actively contribute to discussions about technology, architecture, and solutions for both new and existing projects. If you're passionate about driving technological excellence and thrive in a dynamic, and collaborative environment, this role is tailor-made for you.
What You'll Do
    • Strategize, design, and automate high-volume, batch, and real-time ETL pipelines on AWS.
    • Design and execute test plans to validate the accuracy and completeness of data.
    • Collaborate closely with cross-functional teams, including data scientists, data analysts, BI developers, solution architects, and dev teams.
    • Deploy backend production processes with a focus on high availability, robustness, and monitoring.
    • Build and improve workflow orchestration tooling to support efficient data pipelines.
    • Establish data data quality assurance steps for new and existing pipelines
    • Work with various external APIs to read and enhance data
    • Implement sustainable source code management tools and repositories.
    • Troubleshoot issues promptly, working directly with internal data consumers
    • Actively participate in team discussions about technology/architecture/solutions for new projects.
    • Collaborate on improving existing code and pipeline efficiency.
What You Need
    • 5-8 years of experience in data engineering, modeling, data processing, and data warehousing
    • Proficiency using advanced languages and techniques with (Python, Scala, etc.) with modern data optimized file formats (Parquet,Avro).
    • Deep knowledge of AWS technologies, including S3, RDS, Redshift, AWS Glue, and more.
    • Strong knowledge of Infrastructure as Code (IaC) and provisioning tools (e.g., Terraform, Ansible, Jenkins).
    • Hands on coding experience, including unit testing, test-driven development, and querying and manipulating data in relational and/or NoSQL databases.
    • A competitive understanding of data structures and types, data transformation, validation, and data performance tuning.
    • Proficiency with SQL on RDBMS, data warehouse solutions like Redshift and Data Lake technologies
    • Experience supporting ML/AI projects: deployed pipelines for computing features and using models for inference on large datasets.
    • High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org
    • Bachelor's Degree in Computer Science
    • Remote Candidates based in the U.S are encouraged to apply.
$160,000 - $200,000 a year
The base pay for this position ranges from $160,000 to $200,000 a year. The actual base salary offered for this position will depend on numerous factors including individual performance, skills and experience. The base salary is just one component of Proxima's compensation package which includes a wide range of medical, dental, vision and other benefits, as well as equity.
Why You'll Love Working Here
We can promise:
- Competitive salary in a fast-growing, close-knit, & motivated team
- Unlimited PTO so you can take the time you need
- Health, dental, and vision insurance for you and your dependents
- Annual membership to OneMedical and Teledoc
- Summer Fridays from July 4th Weekend to Labor Day each year
- 401k program
- 12 weeks Paid Parental Leave benefits
- Commuter pre-tax benefits
- Learning & Development Stipend
- HSA and FSA pre-tax benefits
- Pet-Friendly Office Space in the Heart of Soho
We value diversity and inclusivity. We are an equal opportunity employer and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Summary

JOB TYPE

Full Time

SALARY

$133k-164k (estimate)

POST DATE

04/25/2024

EXPIRATION DATE

05/08/2024

WEBSITE

proximagroup.com

HEADQUARTERS

LONDON

SIZE

200 - 500

FOUNDED

1994

CEO

GARETH EVANS

REVENUE

$10M - $50M

INDUSTRY

Business Services

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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The data engineer develops and maintains the enterprise data framework for continued use.

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