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Entry Level Data Analytics Architect Jobs (NOW HIRING)

Halo Group

Data Analytics Architect

Deerfield, IL · On-site

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

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Addepar

Portfolio Analytics Architect

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. The Portfolio Analytics Architect is responsible for ...

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

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Entry Level Data Analytics Architect information

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How much do entry level data analytics architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data analytics architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

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Entry Level Data Analytics Architect jobs near you
Infographic showing various Entry Level Data Analytics Architect job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data Analytics Architect

Halo Group

Deerfield, IL • On-site

Full-time

Re-posted 27 days ago

Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
Participant on team responsible for corporate Big Data platform and Data Engineering solution
Employ a variety of languages and tools to integrate and automate systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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