Staff Data Engineer, Enterprise Data Analytics at Chainalysis

Staff Systems Engineer, Enterprise Data Analytics

As a Staff Systems Engineer, Enterprise Data Analytics, you will lead the design, development, and optimization of mission-critical integrations across our tech ecosystem. You will work across low-code platforms and custom cloud-native services, leveraging your deep software engineering background. This role requires strong problem-solving skills and the ability to partner with key stakeholders to drive strategic collaboration and shape the future of our enterprise data backbone.

In this role, you’ll:

Architect, develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions.
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 the reliability and observability of integration solutions across distributed systems.
Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, Salesforce).
Design & build integrations and automations using low-code/iPaaS platforms (such as Workato and Fivetran).

We’re looking for candidates who have:

A 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.
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.

Technologies we use and teach:

Python, Node.js
AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
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.

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.

When applying, mention the word CANDYSHOP to show you read the job post completely.