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Data Automation Remote Jobs in Oregon (NOW HIRING)

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... You'll define the technical direction for the automation platform (data models, API contracts ...

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... We also focus on operational automation, reliability and data consistency. You will have the ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

Drive automation and efficiency in data preparation and reporting workflows. For roles that are designated as remote-eligible, employees cannot be located in:AL, AK, AR, DE, GA, HI, IL, IA, KY, LA ...

Sales Development Representative

OR · On-site +1

$50K - $55K/yr

Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx ... REMOTE Find yourself checking a lot of these boxes but doubting whether you should apply? At ...

Senior Security Engineer, Data Security

OR · On-site +1

$114K - $156K/yr

... automation, and thoughtful security design. As a Senior Security Engineer focused on Data Security ... Remote - US Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

Data & Reporting - Build dashboards and analytics in HubSpot (and adjacent tools like Sheets ... AI & Automation - Demonstrated experience building AI agents or workflows using Claude, ChatGPT, or ...

Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ... Experience integrating AI services, LLM APIs, or intelligent automation capabilities into ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Strong engineering fundamentals across APIs, automation, observability, and secure platform ...

Digital Marketing Manager

OR · Remote

$90K - $120K/yr

This role requires a data-driven leader who thrives on digging into analytics, identifying growth ... Automation & Technology: * Work with development and analytics teams to further build out our ...

Product Manager- AI

OR · On-site +1

... workflow automation * Gather and translate customer, market, and data insights into clear ... On-site / Hybrid / Remote depending on location * 0-10% travel may be required

Showing results 21-40

Data Automation Remote information

What is a data automation remote?

A Data Automation Remote job involves designing, implementing, and managing automated processes for handling data, all while working from a remote location. Professionals in this role use software tools and programming languages to streamline data collection, transformation, integration, and reporting tasks. They help organizations save time, reduce errors, and improve data accuracy by automating repetitive or manual data-related workflows. This job often requires knowledge of data management platforms, scripting languages, and cloud-based services. Remote data automation specialists collaborate with teams virtually and may work across various industries.

What are the key skills and qualifications needed to thrive as a data automation specialist in a remote setting?

To excel as a Data Automation Specialist working remotely, you typically need a solid background in data analysis, scripting languages (such as Python or SQL), and a relevant degree in computer science or a related field. Familiarity with automation tools like Alteryx, UiPath, or Apache Airflow, as well as experience with cloud platforms and APIs, is highly valued. Strong problem-solving skills, self-motivation, and effective virtual communication are essential soft skills for thriving in a remote environment. These competencies ensure efficient data workflow automation, smooth collaboration across distributed teams, and successful project delivery.

What are some typical challenges faced in a data automation remote role, and how can they be managed?

In a remote Data Automation role, common challenges include maintaining clear communication with cross-functional teams, managing data security protocols from various locations, and troubleshooting automation scripts without immediate on-site support. To address these, it's important to use robust collaboration tools, establish regular check-ins with your team, and document your automation processes thoroughly. Additionally, staying proactive about cybersecurity best practices and participating in virtual knowledge-sharing sessions can help you stay aligned and effective in a remote environment.

What cities in Oregon are hiring for Data Automation Remote jobs?

Cities in Oregon with the most Data Automation Remote job openings:

Staff Software Engineer, Data Governance & Foundations

Instacart

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 10 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

Overview

Instacarts Data Infrastructure organization builds and operates the systems that power our company's data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We're looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you'll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy-balancing today's reliability with the next three to five years of scale, maturity, and cost efficiency.

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You'll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart's data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job
  • Translate Instacart's data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
  • Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
  • Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
  • Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle-accelerating development, automation, observability, and cost optimization-and partnering to embed AI-powered capabilities into the platform.
  • Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.
About YouMinimum Qualifications
  • 10+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
  • Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
  • Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
  • Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
  • Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.
Preferred Qualifications
  • Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
  • FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
  • Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
  • Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012