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Job details

Data Engineer

Flock Freight is a Certified B Corp transforming the freight industry with patented technology. They seek a data engineer to enhance their analytical and data science processes.

Skills

  • Strong proficiency in Python and SQL
  • Experience with dbt and data transformation frameworks
  • Understanding of data modeling for transactional and data warehousing
  • Familiarity with orchestration frameworks and cloud data architecture
  • Exceptional problem-solving and communication skills

Responsibilities

  • Build and maintain scalable, maintainable data transformation pipelines using Python and dbt
  • Stand up new low-latency data processing infrastructure
  • Apply software engineering best practices to the development and deployment of data systems
  • Introduce and improve workflow orchestration and automation processes
  • Identify and prioritize stakeholder requirements and opportunities for system improvements
  • Write and maintain detailed technical documentation

Education

  • Bachelor's degree in Computer Science, Engineering, or related field

Benefits

  • Hybrid work model with in-office collaboration
  • 401(k) plan with 4% employer match
  • Medical, Dental, and Vision coverage
To read the complete job description, please click on the ‘Apply’ button
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CEO of Flock Freight
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Oren Zaslansky
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Average salary estimate

$127500 / YEARLY (est.)
min
max
$120000K
$135000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Flock Freight

As a Data Engineer at Flock Freight in beautiful Encinitas, California, you'll play a pivotal role in shaping the future of freight with our innovative FreightTech solutions. Here at Flock Freight, we are passionate about leveraging technology to move freight more efficiently and sustainably, and we're looking for an engineer who shares that passion. In this role, you'll build and maintain data transformation pipelines using Python and dbt, support data science initiatives, and contribute to our data governance strategies. Our team collaborates closely to create a robust data platform that empowers the organization to make data-driven decisions that revolutionize the freight industry. You'll work on developing low-latency data processing infrastructure to ensure our machine learning models have clean data, while applying best practices in software engineering. Not only will you engage in incident response and monitoring automation, but you'll also have the opportunity to identify and prioritize improvements to our existing systems. If you have a knack for problem-solving, excellent communication skills, and around 1 to 3 years of experience in data engineering, we want to hear from you! Join us at Flock Freight and be part of a mission-driven team focused on enhancing efficiency while reducing carbon emissions. With a flexible hybrid work model, competitive salary, and comprehensive benefits, your well-being is our priority. Ready to take this leap with us?

Frequently Asked Questions (FAQs) for Data Engineer Role at Flock Freight
What are the responsibilities of a Data Engineer at Flock Freight?

As a Data Engineer at Flock Freight, your primary responsibilities include building and maintaining scalable data transformation pipelines using Python and dbt, standing up new low-latency data processing infrastructure, and applying software engineering best practices. You'll collaborate closely with stakeholders to enhance our data systems and automate processes, all while maintaining secure data governance.

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What qualifications are needed for a Data Engineer position at Flock Freight?

To qualify for a Data Engineer role at Flock Freight, you should have 1 to 3 years of experience in data engineering or related coursework. Proficiency in SQL (preferably Snowflake) and Python, alongside experience with data transformation frameworks like dbt, is essential. Familiarity with orchestration tools such as Airflow or Dagster, and cloud data architecture knowledge will greatly enhance your candidacy.

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How does Flock Freight support career growth for Data Engineers?

Flock Freight promotes continuous learning and career advancement for Data Engineers through collaborative team environments, access to the latest technologies, and opportunities to work on impactful projects. Our hybrid work model also enables employees to balance professional growth with personal responsibilities.

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What does the work environment at Flock Freight look like for a Data Engineer?

The work environment at Flock Freight for Data Engineers is both dynamic and supportive, with a focus on collaboration and problem-solving. We utilize a hybrid model that allows for in-office teamwork as well as remote work flexibility, fostering a culture of innovation and inclusivity.

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What can Data Engineers expect in terms of compensation and benefits at Flock Freight?

Data Engineers at Flock Freight can expect competitive compensation ranging from $120,000 to $135,000 per year, alongside a comprehensive benefits package that includes medical, dental, vision coverage, a 401(k) employer match, and an equity package. Our commitment to a supportive work environment ensures our employees thrive both professionally and personally.

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Common Interview Questions for Data Engineer
Can you describe your experience with data transformation using SQL?

When answering this question, you should focus on specific projects where you leveraged SQL to create data transformation processes. Mention key challenges you faced and how you overcame them, showcasing your technical skills and problem-solving abilities.

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How do you ensure data quality in your engineering pipelines?

To answer effectively, outline the methods you use to validate data, such as automated tests and monitoring tools. Discuss strategies for identifying and addressing data quality issues, emphasizing your proactive approach to maintaining clean and reliable data.

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What techniques do you utilize for improving data pipeline performance?

Discuss specific techniques you've implemented, such as optimizing queries, using caching mechanisms, or parallel processing. Highlight your understanding of performance trade-offs and how you prioritize efficiency while maintaining code readability.

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How do you document your data engineering processes?

Explain your approach to creating clear and comprehensive documentation for data pipelines and systems. Highlight your use of tools such as Markdown or Confluence to ensure that your documentation is easily accessible and useful for your team.

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Which orchestration frameworks have you used, and how did they improve your projects?

Share your experiences with various orchestration frameworks like Airflow or Dagster. Discuss how these tools helped automate workflows, manage dependencies, and improve the reliability of your data processes.

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Can you explain the concept of data modeling and its importance?

Provide a clear definition of data modeling and relate it to your previous projects. Discuss how effective data modeling enhances data quality and accessibility and how it influences the design of robust data architectures.

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What steps do you take in incident response for production data systems?

Describe your approach to incident response, including monitoring systems, alerting mechanisms, and the steps taken to diagnose and resolve issues effectively. Highlight your collaborative approach in working with cross-functional teams during incidents.

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How do you approach stakeholder communication regarding data requirements?

Emphasize the importance of understanding stakeholder needs through active listening and asking clarifying questions. Discuss how you translate their requirements into technical specifications and keep them informed throughout the development process.

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Have you implemented any data governance strategies? If so, what were they?

Discuss any data governance frameworks you've worked with, emphasizing your role in establishing data access policies, security measures, and compliance with regulations. Share how these strategies benefited the organization.

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What excites you most about working as a Data Engineer at Flock Freight?

Convey your enthusiasm for Flock Freight's mission and innovative technology in the freight industry. Highlight aspects such as collaboration, the impact of your work on sustainability, and the learning opportunities you are eager to explore within the role.

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Flock Freight’s mission is to reimagine and reinvent the freight industry to relentlessly eliminate waste and inefficiency.

13 jobs
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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Vision Insurance
Performance Bonus
Family Medical Leave
Paid Holidays
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$120,000/yr - $135,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 18, 2025

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