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Data Analyst Python Sql Jobs in Bend, OR (NOW HIRING)

ESI Solutions

Industrial Data Engineer

Sisters, OR · On-site

$114.70K - $137.70K/yr

... analytics engineering, or a closely related technical role. · Strong SQL skills and experience ... Python, JavaScript, HTML, and/or Java. · Experience building dashboards and reports using Power BI ...

SOLV Energy

Performance Engineer II

Bend, OR · On-site +1

... data analytics * Proficiency in MS Excel, Word, PowerPoint, Outlook and other Office tools * Experience with programming languages like Python, VBA, MATLAB, Java, and others preferred * Broad ...

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Data Analyst Python Sql information

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$35.9K

$87.2K

$143.5K

How much do data analyst python sql jobs pay per year?

As of May 29, 2026, the average yearly pay for data analyst python sql in Bend, OR is $87,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Bend, OR? For Data Analyst Python Sql jobs in Bend, OR, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Bend, OR look for? The top searched job categories for Data Analyst Python Sql jobs in Bend, OR are:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Bend, OR as of May 2026, with employment types broken down into 5% As Needed, 58% Full Time, 11% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $87,185 per year, or $41.9 per hour.

Industrial Data Engineer

ESI Solutions

Sisters, OR • On-site

$114.70K - $137.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Industrial Data Engineer

Company Overview

ENERGYneering Solutions (ESI), a division of TransTech Energy, provides exceptional technical expertise in engineering and operations for the biogas utilization and management industries. Since 2007, ESI has specialized in design, construction, and operations for biogas projects that collectively produce over one million MWh of renewable electricity and over 50 million gallons of renewable vehicle fuel every year. ESI is built upon the principle of providing our clients with unmatched experience, flexibility, and follow-through.

Job Overview

ESI is seeking an Industrial Data Engineer to design, build, and maintain data solutions that connect operational technology (OT) systems with enterprise analytics. This role develops scalable ingestion, transformation, and storage pipelines for SCADA platforms, relational databases, enterprise systems, and reporting tools. The position converts raw operational and business data into trusted datasets, dashboards, and automated reports used by engineering, operations, customers, and regulatory stakeholders.

Success in this role requires a builder's mindset, strong SQL and SCADA skills, comfort working with industrial systems, and the ability to translate operational needs into reliable data products. The Industrial Data Engineer supports the full delivery lifecycle, including requirements gathering, code development, testing, CI/CD, production deployment, documentation, user support, and ongoing optimization.

Work Location and Reporting

This is role based in Sisters, Oregon (Headquarters). The Industrial Data Engineer reports to the IT & Network Lead.

Key Responsibilities

· Develop intuitive dashboards and automated production reports for RNG facilities, internal stakeholders, external clients, and regulatory bodies such as the EPA.

· Create reliable, consumable data models for Power BI, Tableau, and other analytics tools, with clear definitions for KPIs, operational metrics, and data trends.

· Design, build, and maintain scalable data ingestion, transformation, and storage pipelines that support enterprise analytics and operational reporting.

· Integrate data from SCADA systems, including Ignition, FactoryTalk, Wonderware and similar platforms, with enterprise systems and analytics.

· Monitor and optimize dashboards, applications, queries, and pipelines; improve data integrity, security, availability, and performance.

· Develop and maintain software applications and scripts that support RNG facility operators, site owners, engineering teams, and business users.

· Connect software and data solutions with existing platforms used by RNG facilities, ensuring reliable data flow across systems.

· Use Git/GitHub and modern development practices to support code review, testing, deployment to production, and ongoing platform improvement.

· Provide technical support, documentation, and user training so teams can effectively use data tools, dashboards, and software solutions.

· Partner with engineers, project managers, facility operators, IT, and operations teams to understand needs and deliver practical, maintainable solutions.

· Maintain clear documentation for data pipelines, data models, software applications, integrations, dashboards, reports, and support processes.

· Other duties as assigned.


Qualifications

Required / Core Qualifications

· Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Data Analytics, or a related field preferred; equivalent practical experience will be considered.

· 3-4+ years of experience in data engineering, software development, business intelligence, analytics engineering, or a closely related technical role.

· Strong SQL skills and experience working with relational databases such as PostgreSQL, Microsoft SQL Server, MySQL, or similar systems.

· Working knowledge of Python, JavaScript, HTML, and/or Java.

· Experience building dashboards and reports using Power BI, Tableau, or similar visualization tools.

· Experience building ETL/ELT processes, data pipelines, and structured datasets from multiple source systems utilizing prefect and DBT or similar.

· Familiarity with SCADA or industrial automation platforms such as Ignition, FactoryTalk, Wonderware, or similar systems.

· Experience with Git/GitHub and development lifecycle practices such as code review, testing, CI/CD, and deployment support.

· Strong analytical, troubleshooting, and problem-solving skills, with attention to data quality and operational reliability.

· Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical users.

· Ability to work independently, manage priorities, self-motivate, and collaborate effectively in a fast-paced team environment.


Preferred Qualifications

· Experience in renewable energy, renewable natural gas (RNG), utilities, industrial operations, or process manufacturing environments.

· Experience with time-series or historian data, SCADA tags, OPC UA, MQTT, APIs, or other industrial data integration patterns.

· Advanced SQL skills, including window functions, query optimization, deduplication, stored procedures, and performance tuning.

· Experience with cloud or modern data platforms such as Microsoft Azure, Microsoft Fabric, AWS, Snowflake, Databricks, or similar technologies.

· Knowledge of AI, machine learning, advanced statistical methods, or predictive analytics.

· Understanding of OT/IT security, data governance, and documentation practices in industrial environments.


Benefits Designed to Work for You:

· Choice of healthcare plans, with a no-cost HSA option

· Company HSA contributions for eligible employees

· 401(k) with generous company match and full vesting upon eligibility

· Dental, vision, and optional coverages like accident & critical illness insurance

· Company-paid Life, Long Term Disability, and AD&D insurance

· Confidential support for mental health, family matters, legal concerns, and more through our Employee Assistance Program

· Discounts on gyms, shopping & entertainment

· Health benefits kick in fast – first of the month after 30 days

Time Off We offer a variety of paid time off options to support rest, wellness, and personal needs:

· Paid Time Off

· Paid Holidays

· Bereavement Leave


This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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