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Respondology

Sr. Backend Software Engineer (Data/ETL)

full-time•Boulder•$140k - $165k

Summary

Location

Boulder

Salary

$140k - $165k

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

Respondology is the leader in AI-powered social comment moderation. We are now expanding our best-in-class AI technology to enable brands to listen and respond to people in their social communities.  With over 500 brands on its platform reaching 2 billion people per month, Respondology is modernizing social marketing, while eradicating hate speech from social media. #TechnologyForGood.


Respondology is seeking a Backend Software Engineer with deep data engineering expertise to build and scale our ingestion pipelines and knowledge base infrastructure. This is a critical role in architecting high-throughput data systems that power Respondology’s  AI-driven product suite. You'll design scrapers, API integrations, and ETL pipelines that process millions of data points daily across multiple storage systems. 


If you're excited about building robust data infrastructure and solving complex scalability challenges, we'd love to hear from you!

 

A day in the life:

  • Design and build data ingestion pipelines integrating with dozens of external sources (social platforms, third-party APIs, web scrapers)
  • Architect ETL workflows using Airflow and Kafka to process high-volume data streams (millions of records daily)
  • Collaborate with AI/ML engineers to ensure data quality and availability for Agentic RAG pipelines
  • Build and optimize multi-store data architecture: vector databases (Pinecone), relational databases (Postgres), and search engines (OpenSearch)
  • Develop and maintain integrations with social media platforms (Meta, LinkedIn, TikTok, X/Twitter) handling webhook ingestion and API polling
  • Optimize data freshness, throughput, and reliability across distributed systems
  • Participate in code reviews and contribute to backend services (FastAPI/Python, occasional Ruby on Rails)


Here's what you need to get our attention:

  • Bachelor's degree in Computer Science or related degree; or equivalent work experience
  • Minimum 5 years of professional software engineering experience
  • Minimum 4 years proven experience building data pipelines and ETL workflows in Python
  • Minimum 3 years experience with workflow orchestration tools (Airflow, Dagster, Prefect, or similar)
  • Minimum 3 years working with multiple data storage technologies (relational, vector, search engines)
  • Experience with message queues and event streaming (Kafka, RabbitMQ, SQS/SNS)
  • Proven experience building high-throughput, fault-tolerant systems (we process 100s of millions of comments per year)
  • Strong understanding of API design, rate limiting, and webhook handling
  • Experience with data quality monitoring and observability
  • Demonstrated ability to take ownership of projects, prioritize tasks, and deliver high-quality results independently


Here's what will make us call you for sure:

  • Experience building and/or working with RAG pipelines to provide context to cutting edge AI Agents
  • Significant experience with AWS data services (Kinesis, S3, RDS, Redshift, SQS/SNS)
  • Experience with vector databases (Pinecone, Weaviate, Qdrant) or embedding-based retrieval systems
  • Deep knowledge of OpenSearch/Elasticsearch for large-scale search and analytics
  • Experience with social media platform APIs and webhook integrations
  • Familiarity with modern ML/AI workflows and serving infrastructure
  • Experience with infrastructure as code (Terraform, CloudFormation)
  • Experience with APM and data pipeline monitoring (we use DataDog)
  • Background in web scraping at scale with anti-bot mitigation strategies
  • Experience working at a rapidly-growing tech startup
  • FastAPI and Pydantic expertise


Compensation: 

$140,000 - $165,000 annually, DOE plus equity


Location: 

This is a 100% remote role. 


And if we haven't convinced you yet, here is why you'll want to be part of our team:

  • We have a values-led culture with team members who have your back.
  • Our product is making the world a better place—you will make an impact.
  • Everyone is an owner—equity is included for all employees.
  • 100% remote or you may come into our beautiful offices if you’re near Boulder, CO—dogs welcome (our in-house happy hours are always fun).
  • Twice yearly off-sites to enjoy time together as a team.
  • Flex PTO plan, generous holidays and off-week between Christmas and New Years.
  • Multiple healthcare options, including plans with FSA and HSA
  • Matching traditional and Roth 401k—immediately vested
  • Family and paternity leave
  • Life Insurance


COME AS YOU ARE: Your gender, your gods, your sex life, your skin color or your big shot uncle don't make a difference here. Respondology is a progressive and open-minded meritocracy. If you're smart and good at what you do, come as you are.

What you'll do

  • Design and build data ingestion pipelines and architect ETL workflows to process high-volume data streams. Collaborate with AI/ML engineers to ensure data quality and optimize multi-store data architecture.

About Respondology

Respondology is the AI-powered social engagement platform that modernizes how social marketers moderate, listen to, and respond to comments at scale. The world’s top brands rely on Respondology to transform comment sections into community, commerce, and competitive intelligence. Fast to deploy and easy to use, our customers engage with over 2 billion collective followers every month.

Ready to join Respondology?

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Frequently Asked Questions

What does Respondology pay for a Sr. Backend Software Engineer (Data/ETL)?

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Respondology offers a competitive compensation package for the Sr. Backend Software Engineer (Data/ETL) role. The salary range is USD 140k - 165k per year. Apply through Clera to learn more about the full compensation details.

What does a Sr. Backend Software Engineer (Data/ETL) do at Respondology?

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As a Sr. Backend Software Engineer (Data/ETL) at Respondology, you will: design and build data ingestion pipelines and architect ETL workflows to process high-volume data streams. Collaborate with AI/ML engineers to ensure data quality and optimize multi-store data architecture..

Is the Sr. Backend Software Engineer (Data/ETL) position at Respondology remote?

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The Sr. Backend Software Engineer (Data/ETL) position at Respondology is based in Boulder, Colorado, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Sr. Backend Software Engineer (Data/ETL) position at Respondology?

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You can apply for the Sr. Backend Software Engineer (Data/ETL) position at Respondology directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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