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Full Time Sql Data Engineer Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

S3, Glue, Macie) • Experience with SQL and NoSQL databases • Proficiency in programming languages like Python, Terraform, Scala or Java for data processing • Experience with ETL tools and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

S3, Glue, Macie) • Experience with SQL and NoSQL databases • Proficiency in programming languages like Python, Terraform, Scala or Java for data processing • Experience with ETL tools and ...

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Proficiency in SQL and experience with Azure SQL Database and/or Azure SQL Managed Instance.

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Plan and execute data migration strategies from SQL Server databases to Microsoft Fabric, ensuring ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Plan and execute data migration strategies from SQL Server databases to Microsoft Fabric, ensuring ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

... SQL DB, GCP Cloud Storage etc. - Implementing data integration solutions using AWS Glue, AWS Lambda ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Build and maintain data validation processes using Databricks SQL, PySpark, and Delta Lake. * Monitor data pipelines and data products for quality issues. * Partner with Data Engineers to embed ...

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

JD: Technical/Functional Skills 1) Strong proficiency in SQL and database technologies 2) Familiarity with data warehousing and data modelling concepts 3) Hands-on experience with Google Cloud ...

Showing results 41-60

Full Time Sql Data Engineer information

What does a full time SQL data engineer do?

A Full Time SQL Data Engineer is responsible for developing, maintaining, and optimizing databases using SQL (Structured Query Language). They design data models, write complex queries, and ensure data integrity and security within the organization’s systems. SQL Data Engineers also collaborate with analysts and other IT professionals to support reporting, analytics, and data-driven decision making. Their work often includes automating data pipelines and troubleshooting performance issues to keep databases running efficiently.

How does a full time SQL data engineer typically collaborate with data analysts and other stakeholders?

As a full-time SQL Data Engineer, you’ll frequently work alongside data analysts, business intelligence teams, and sometimes software developers. Your primary responsibility is to design, build, and maintain databases and ETL processes, ensuring data is accessible, reliable, and well-structured for analysis. Regular collaboration involves understanding stakeholder data needs, troubleshooting data issues, and optimizing queries to improve performance. Effective communication and a proactive approach to problem-solving are crucial, as you may need to translate business requirements into technical solutions and provide guidance on best practices.

What are the key skills and qualifications needed to thrive as a full time SQL data engineer, and why are they important?

To thrive as a Full Time SQL Data Engineer, you need strong expertise in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, MySQL, or PostgreSQL), ETL tools, and sometimes certifications like Microsoft Certified: Azure Data Engineer Associate are typical requirements. Analytical thinking, problem-solving, and effective communication are crucial soft skills that set top performers apart. These capabilities are vital for ensuring robust data infrastructure, maintaining data integrity, and supporting business decision-making processes.

What are the most commonly searched types of Sql Data Engineer jobs in Arizona?

The most popular types of Sql Data Engineer jobs in Arizona are:

What job categories do people searching Full Time Sql Data Engineer jobs in Arizona look for?

The top searched job categories for Full Time Sql Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Full Time Sql Data Engineer jobs?

Cities in Arizona with the most Full Time Sql Data Engineer job openings:

$113K - $136K/yr

Full-time

Re-posted 12 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Requirements

  • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
  • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
  • Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
  • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
  • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
  • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.