[Remote] Data Engineer at Loop

Columbus, Ohio, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

4 years of hands-on experience building and maintaining data pipelines and data sets in a cloud environment (Snowflake, GBQ, Redshift, etc.)
2+ years of Python experience, creating reliable workflows and data processing scripts
Strong SQL skills and experience with data modeling
Experience with dbt or similar transformation tools
Familiarity with distributed systems and ETL/ELT processes

Responsibilities

Maintain and optimize existing data pipelines and warehouse solutions for performance, reliability, and cost efficiency
Support internal analytics and ML teams with data modeling, schema updates, and ad hoc data needs
Contribute to dbt projects and assist in ensuring data quality, observability, and accessibility
Write clean, tested, and documented code, and participate in code reviews
Collaborate with senior data engineers to understand and contribute to new ingestion sources, ML pipelines, and other forward-looking initiatives
Ensure internal stakeholders can access and use data effectively, enabling faster business insights and decision-making

Skills

Key technologies and capabilities for this role

SnowflakeFivetrandbtGoodDataSecodaData ModelingData PipelinesData QualitySQLCode Review

Questions & Answers

Common questions about this position

What experience is required for the Data Engineer role?

Candidates need 4 years of hands-on experience building and maintaining data pipelines in a cloud environment like Snowflake, 2+ years of Python experience, strong SQL skills with data modeling, experience with dbt or similar tools, and familiarity with distributed systems and ETL/ELT processes.

What is the work location policy for this position?

Loop has a Blended Working Environment with HQ in Columbus, OH, or Hub/Secluded locations, distributed across the US, select Canadian provinces, and UK. For this role, they seek candidates in locations with an established Hub or HQ.

What is the data stack used by the team?

The data stack includes Snowflake, Fivetran, dbt, GoodData, and Secoda.

What values does the Data Team at Loop emphasize?

The Data Team values progress over perfection and focuses on delivering value to the business.

What makes a strong candidate for this Data Engineer position?

Top candidates will have hands-on experience with Snowflake specifically, along with the required 4 years in cloud data pipelines, Python, SQL, dbt, and ETL/ELT. Nice-to-haves like data observability tools, BI exposure, Fivetran, or Kafka strengthen applications.

Loop

Simplifies payments with advanced technology.

About Loop

The company's main product simplifies payments in a complex industry, utilizing advanced technologies to streamline the process.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$63.2MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Automotive & Transportation, Enterprise SoftwareIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Professional Development Budget

Physical and Mental fitness subsidies

Commuter Benefits

Risks

Increased competition may pressure Loop's market share and pricing.

Regulatory changes in Saudi Arabia could impact Loop's operations.

Cybersecurity threats pose risks to Loop's reputation and customer trust.

Differentiation

Loop's platform streamlines shipment document capture and invoice matching efficiently.

Partnerships with major players like J.P. Morgan enhance Loop's market credibility.

Loop's expansion into Saudi Arabia showcases its global reach and adaptability.

Upsides

AI integration boosts Loop's invoice matching accuracy and fraud detection.

Blockchain technology offers Loop enhanced transparency and security in payments.

IoT growth allows Loop to provide real-time tracking and analytics services.

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