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Junior Data Engineer Jobs in Goodyear, AZ (NOW HIRING)

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Mentor junior engineers, providing guidance on best practices and technologies. Evangelize ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

Keylent Inc

Python Backend Engineer

Phoenix, AZ · On-site

$60/hr

This role involves developing and implementing solutions that support our digital and data ... Mentor junior team members and provide guidance on best practices in engineering. Qualifications ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131.20K - $172.20K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

Davis Technology Management

Junior Developer

Phoenix, AZ · On-site

$66.50K - $86.40K/yr

Junior Analyst-Developer We are hiring a Junior Analyst-Developer to help improve business ... data handling processes Basic Qualifications Bachelor's degree in Computer Science, Engineering, or ...

Davis Technology Management

Junior Developer

Phoenix, AZ · Remote

$55K - $65K/yr

Junior Analyst-Developer Role Overview We are hiring a Junior Analyst-Developer to help improve ... and data handling processes Basic Qualifications • Bachelor's degree in Computer Science ...

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How much do junior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for junior data engineer in Goodyear, AZ is $70,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $78,200.00 per year, depending on experience, location, and employer.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.
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Senior Data Scientist (only USC and GC on W2)

Senior Data Scientist (only USC and GC on W2)

Ampstek

Phoenix, AZ • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior Data Scientist

Location: Phoenix, Arizona - Onsite

Employment Type: Contract

Position Overview

• We are seeking a highly experienced Senior Data Scientist to support and enhance our AIOps (Artificial Intelligence for IT Operations) solution. This position plays a critical role in advancing our anomaly detection, root cause analysis, and intelligent automation capabilities across enterprise systems.

• The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large-scale data analysis, with strong hands-on proficiency in Python and SQL. This individual will drive innovation in operational intelligence by leveraging anomaly detection, causal reasoning, time series modeling, and emerging GenAI techniques.

Key Responsibilities

• Design and implement scalable machine learning models for AIOps use cases including anomaly detection and root cause analysis.

• Develop and optimize advanced anomaly detection algorithms for infrastructure, application, and operational telemetry data.

• Apply causal reasoning frameworks to identify drivers of incidents and operational disruptions.

• Build and deploy time series forecasting and modeling solutions to predict performance degradation and system failures.

• Develop robust data pipelines and analytical workflows using Python and SQL.

• Integrate Generative AI (GenAI) techniques for intelligent summarization, incident triage, knowledge extraction, and automation.

• Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production environments.

• Drive continuous improvement of model performance, scalability, and reliability.

• Mentor junior data scientists and contribute to best practices in MLOps and model governance.

Required Qualifications

• 6+ years of experience in data science or applied machine learning roles.

• Strong communication and stakeholder management skills.

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow or similar).

• Advanced SQL skills for data manipulation and analysis.

• Proven experience in anomaly detection techniques (statistical, ML-based, deep learning-based).

• Strong understanding and practical application of causal inference and causal reasoning methodologies.

• Hands-on experience with large-scale structured and time series datasets.

• Solid knowledge of time series modeling (ARIMA, Prophet, LSTM, state-space models, etc.).

• Experience deploying models into production environments.

• Strong analytical thinking and problem-solving capabilities.

Preferred Qualifications

• Experience in AIOps, IT Operations analytics, or observability platforms.

• Exposure to GenAI / LLM-based solutions for operational intelligence.

Email: preeti.verma@ampstek.com

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