| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Chainalysis | United States | $110k - $150k | |||
Land | Remote | $36k - $90k | |||
travoom | Austin, TX, United States | $84k - $150k | |||
M0 | New York, NY, United States | $105k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitpanda | Remote | $76k - $148k | |||
Doggverse | Remote | $90k - $100k | |||
moomoo | Jersey City, NJ, United States | $84k - $150k | |||
Bondex | Remote |
| |||
Kast | Singapore, Singapore | $138k - $186k | |||
MORPHO LABS | New York, NY, United States | $67k - $120k | |||
Tether | Mexico | $22k - $54k | |||
Tether | Tanzania | $22k - $54k | |||
Tether | Warsaw, Poland | $22k - $54k | |||
Tether | Denmark | $22k - $54k | |||
Tether | TI Lugano CH | $22k - $54k |
The Integration and Automation team is part of Chainalysis’ Enterprise Data & Analytics team who is responsible for generating insights from Chainalysis’ enterprise data. We do this by ingesting, storing and enabling consumption of trusted Account Journey data, metrics and insights across the B2B Enterprise Funnel. We design and implement the critical infrastructure that unifies data across business systems, empowering analytics, operational excellence, and advanced AI initiatives. Our mission is to deliver secure, scalable, and reliable data solutions that enable every part of Chainalysis to thrive in an ever-evolving technology landscape.
As a staff integration engineer, you lead the design, development and optimization of mission-critical integrations across our tech-ecosystem such as NetSuite, Salesforce, Adaptive and Workday. You work across low-code platforms and custom cloud-native services, leveraging your deep software engineering background and DevOps expertise. This role requires strong problem solving skills, and the ability to partner with key stakeholders and drive strategic collaboration to shape the future of our enterprise data backbone.
In this role, you’ll:
Design and implement robust, scalable integrations between Databricks and key enterprise business systems
Lead architecture reviews and ensure compliance with security, privacy and data governance standards
Translate business requirements into technical specifications and integration workflows
Architect, develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
Own the provisioning and management of infrastructure for integrations by applying Infrastructure as Code principles with Terraform
Mentor engineers and champion best practices in software engineering, source control (Gitflow), and DevOps workflows within Github repositories
Collaborate closely with data scientists, product managers, and stakeholders to ensure integrations deliver transformative business value
Proactively monitor, troubleshoot, and ensure reliability and observability of integration solutions across distributed systems
We’re looking for candidates who have:
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Minimum 8+ years of hands-on experience in software engineering, with expertise in backend or distributed systems in cloud environments
Advanced proficiency in Python or Node.js
Proven track record building and managing integrations and automations using low-code/iPaaS platforms (such as Workato and Fivetran)
Expert-level AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM.
Deep hands-on expertise with Terraform and modern DevOps practices, including CI/CD and infrastructure lifecycle automation
Mastery of Git and modern source control workflows (Gitflow), using Github
Strong communication, collaboration, and leadership skills with a history of mentorship and technical ownership.
You might also have:
Hands-on experience with Databricks or Snowflake, especially in data warehousing, modeling, or pipeline optimization.
Familiarity with reverse ETL and modern data stack solutions, such as Airbyte or Census.
Prior experience building complex workflows between business systems (Salesforce, Clari, Marketo, Netsuite, Adaptive, Workday).
Experience with AI-assisted development environments, such as Windsurf or Cursor
Exposure to Model Context Protocol (MCP) and expertise in building autonomous AI agents using AWS solutions such as Bedrock and Agentcore.
Technologies we use:
Python, Node.js
AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
Workato, Fivetran
Databricks, Airbyte
Terraform
Git, Github
Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive
Windsurf
About Chainalysis
Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here.Â
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.Â
How do I become an integration developer?
Becoming an integration developer typically involves a combination of education, training, and practical experience
Here are some steps you can take to become an integration developer:
- Obtain a degree in computer science or a related field: A bachelor's degree in computer science or a related field can provide you with a solid foundation in programming, software development, and database management.
- Learn programming languages: Integration developers typically use programming languages like Java, Python, or C# to create integrations between different systems. It's essential to have a good understanding of these languages to be successful in this field.
- Gain experience with integration technologies: Familiarize yourself with integration technologies such as REST, SOAP, and messaging protocols like JMS, MQ, or AMQP.
- Develop knowledge of APIs and microservices: APIs (Application Programming Interfaces) and microservices are two critical concepts that integration developers need to understand. APIs allow different applications to communicate with each other, while microservices enable the development of complex applications by breaking them down into smaller, more manageable components.
- Learn about enterprise integration patterns: Enterprise Integration Patterns (EIPs) are a set of design patterns used in enterprise application integration. Understanding EIPs can help you develop more efficient and effective integrations.
- Get practical experience: Look for internship or entry-level job opportunities that provide hands-on experience with integration technologies. Practice building integrations and working with different systems.
- Stay up-to-date with the latest technologies: The integration landscape is constantly evolving, so it's essential to stay current with the latest trends and technologies in the field. Attend industry events, read relevant blogs, and follow thought leaders in the industry to stay informed.