Data Engineer Salary at On Q Financial Inc BETA

*Must be local to the *Greater Phoenix Area* *Unfortunatley, they cannot sponsor, so must be eligible to work in the US without sponsorship or transfer** Our client is a healthcare technology company focused on transforming multidisciplinary care delivery through innovative electronic health record (EHR) software. With a commitment to exceptional patient care, our mission is to improve healthcare outcomes by integrating cutting-edge technology with coordinated, transdisciplinary care models. Position Overview: We are seeking an experienced Data Engineer to design, optimize, and maintain robust data pipelines that support reporting, analytics, and healthcare operations. The ideal candidate will have hands-on expertise in Azure Data Factory and Azure SQL Server, with a strong understanding of healthcare data and regulatory requirements such as HIPAA. This role is critical in scaling our data infrastructure and ensuring the integrity and performance of our data systems. Key Responsibiliti

About the Company: This client is a fundamental value investment firm focused on quality and value. Their machine learning initiatives are designed to augment and potentially replace research analysts in investigative journalism tasks. We foster an environment where passion for technology and innovation thrives. Role Responsibilities: Take over the management of the database, including permissions and architecture Create ETL pipelines to feedback into ML pipelines. Onboard new data sets and integrate them with existing ones. Convert more work to dbt as a first project. Convert high-priority tasks to Change Data Capture (CDC). Build and optimize ETL pipelines to remove bottlenecks. Ensure best practices in data governance and security. Technical Skillsets: 3+ years of proven industry experience, preferably in the finance sector. Strong Python experience in producing optimized and efficient code Proficiency in PostgreSQL, including specific optimizations. Knowledge of best practices in d

Description Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers. Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. Were hiring across Amazon Stores in the United States and Canada. Teams with availab

A client in Phoenix, Arizona is currently looking for an experienced Data Engineer to join their growing team. This candidate will join a team of data engineers and analysts working to enhance the efficiency of the business unit's current Oracle platforms. Candidates for this position must be located in the greater Phoenix area, and able to work in a hybrid model. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, pleas

Title: Data Engineer Duration: 11 months Location: Phoenix, AZ 85027- Hybrid Manager Notes: Hybrid role, this person will need to start on site, 2-3 days/week in the Phoenix, AZ location Strong preference for local Arizona candidates Candidates need specific engineering experience within GCP (google cloud), must do design work Python, Pyspark and Big Query, this person must have experience with 2 of those 3. The team will work within Lumi (Client internal GCP Platform) and utilize the suite of google services Looking for 5-7+ years of experience Job Description: s a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs. Key Responsibilities: Design and develop solutions using Bigdata tools and technologies like MapReduce, Hive, Spark etc

Role: Data Engineer Location: Phoenix, AZ- Day 1 onsite Duration: Full Time Job Description Job Title-Data Engineer Relevant Experience(in yrs)-8+ years 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 Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable 4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc 5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles & Responsibilities •Design, develop, and maintain data architectures and infrastructure •Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions •Design, build, and maintain data pipeli

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses. Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose The senior position supports design and operation of 24 x 7 environments and ensures availability, performance, integrity, and security of the data. Essential Functions Demonstrates technical expertise in the use of database theory and technology as well as under

Title: Data Engineer Location: Chandler, AZ 85225 - Fully On-Site Overview of Role: As Data Engineer, you will be responsible for helping to scale, implement, and architect new data initiatives across the business. This role will require someone who is eager to learn and work on new technologies. This role is a combination of data engineering, data governance, and data integration. Company Description: Our client is a startup with a few years under their belt that focuses on quality investments to build capital. As their needs expand they are looking to add to the team and hire someone who is dedicated, hungry, and knowledgeable. Role Description: Design and implement scalable, reliable data pipelines using technologies like Apache Spark, Hadoop, and Kafka. Leverage AWS or Azure services (e.g., EC2, RDS, S3, Lambda, Azure Data Lake) for efficient data handling and processing. Develop and optimize data models and storage solutions (SQL, NoSQL) to ensure data quality and accessibility fo