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Associate Data Engineer Jobs (NOW HIRING)

Senior Associate, Data Engineer

New York, NY ยท On-site

$180K - $200K/yr

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology division, supporting our venture and growth business by designing, building, and evolving the firm ...

We currently have an opportunity for a Data Engineer (ETL / Databricks) to join our growing Business Operations data engineering team!This is a junior-level position on our team (ideally looking for ...

New

Associate Data Engineer II Department / Division: Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $78,875/yr - $97,434/yr plus bonus Location: Ada, MI (onsite) What we're ...

New

Job Purpose & Scope As Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy. In this role, you will act as a problem ...

Job Purpose & Scope As Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy. In this role, you will act as a problem ...

Job Purpose & Scope As Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy. In this role, you will act as a problem ...

Senior Associate, Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

They are seeking a talented data engineer to join their Boston team, responsible for designing and building scalable data pipelines and collaborating with multiple teams to deliver innovative data ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for associate data engineer in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
More about Associate Data Engineer jobs
What cities are hiring for Associate Data Engineer jobs? Cities with the most Associate Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Associate Data Engineer jobs? States with the most job openings for Associate Data Engineer jobs include:
Infographic showing various Associate Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,974 per year, or $18.7 per hour.
Senior Associate, Data Engineer

Senior Associate, Data Engineer

ICONIQ

New York, NY โ€ข On-site

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology division, supporting our venture and growth business by designing, building, and evolving the firm's enterprise data platform. This role will help shape the long-term vision for ICONIQ's data ecosystem by delivering scalable, secure, and high-performing data infrastructure that powers analytics, reporting, artificial intelligence, and business insights.
What You'll Do:
  • Design, build, and optimize scalable data models, pipelines, and workflows that power the Growth data platform.
  • Develop modern data architecture and engineering standards that improve platform scalability, reliability, security, and performance.
  • Build robust data ingestion and transformation frameworks that integrate internal and third-party data into trusted, production-ready datasets.
  • Lead data governance initiatives, including metadata management, data lineage, access controls, monitoring, and data quality.
  • Develop data infrastructure that enables advanced analytics, artificial intelligence, machine learning, and enterprise knowledge management.
  • Partner closely with business stakeholders and engineering teams to translate evolving business needs into scalable technical solutions.
  • Optimize Snowflake performance through warehouse design, query optimization, and governance best practices.
  • Evaluate emerging technologies and contribute to the ongoing evolution of ICONIQ's data platform and AI capabilities.

Ideal Candidate Background:
  • 8+ years of experience in data engineering, analytics engineering, or a related technical field.
  • Deep expertise designing and operating enterprise-scale data platforms using Snowflake.
  • Advanced experience with Structured Query Language, including data modeling, query optimization, and performance tuning.
  • Strong Python programming skills for data engineering, automation, orchestration, and scalable pipeline development.
  • Experience building cloud-native data architectures, ingestion frameworks, and orchestration workflows.
  • Proven experience implementing enterprise data governance, metadata management, lineage, access controls, and data quality practices.
  • Experience supporting artificial intelligence and machine learning use cases through modern data infrastructure.
  • Familiarity with AI tools and technologies is a plus. We value team members who are curious about leveraging AI to enhance productivity, streamline workflows, and drive innovation.

What We Offer:
  • Comprehensive Medical, Dental and Vision Insurance starting on your first day of employment.
  • Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare.
  • A matching 401(k) program.
  • Commuter Benefits program.
  • Stipends to support wellness and hybrid working arrangements.
  • We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.
  • Smart-casual dress code.

Location: Applicants are expected to work onsite in our New York or San Francisco office in accordance with our hybrid working policy.
Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $180,000-$200,000 together with the benefits listed above.
About ICONIQ
ICONIQ is a global investment firm elevated by an extraordinary community. With over $100B assets under management, we seek to build resilient investment portfolios, partner with inspired entrepreneurs transforming industries, manage our clients' lives and legacies, and create uncommon opportunities across sectors and society.
When you submit a job application as a prospective employee ("your" or "your") of ICONIQ Capital LLC ("ICONIQ," "we," "us," or "our"), we or our service providers may collect, use, disclose and otherwise process personal information about you. Personal information collected by the Greenhouse portal is subject to the Greenhouse's privacy policy, available here [https://www.greenhouse.com/privacy-policy] and ICONIQ's Privacy Policies available here [https://www.iconiqcapital.com/privacy-policies].
Use of AI in the Application Process
We expect candidates to be fluent in using AI tools to enhance their work. You're welcome to use AI in preparing your application where it adds value, but your materials must be accurate and reflect your own experience, judgement and voice.
We care most about how you think, what you've personally contributed, and how you use tools like AI to drive better outcomes. Strong candidates demonstrate both authenticity and leverage, using AI to elevate their work while maintaining clear ownership.
Throughout the interview process, you should be prepared to speak in depth about your experience and contributions in your own words.
Equal Employment Opportunity Statement:
We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support.

ICONIQ logo

About ICONIQ

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2020