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Data Integration Engineer Jobs (NOW HIRING)

Senior Engineer Location: New York, NY (onsite) Job Type: full time Skill: Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data integration workflows ...

As Baird continues to invest in data as a strategic asset, we are expanding our IT Data Integration team and seeking a Data Integration Developer to help build and support high-quality data solutions ...

About the role The Data Warehouse/Integration Engineer will support the development, maintenance, and enhancement of an enterprise data warehouse and related system integrations. The ideal candidate ...

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Data Integration Engineer information

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$10

$51

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How much do data integration engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data integration engineer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What are some common challenges Data Integration Engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What are Data Integration Engineers?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

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

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What engineers make $200,000 a year?

Data Integration Engineers with extensive experience, advanced skills in data pipelines, and proficiency in tools like ETL platforms and cloud services can earn $200,000 or more annually. High salaries are often associated with senior roles, specialized expertise, and working in industries such as finance, technology, or consulting.

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

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What engineers make $500,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or executive roles. Such compensation often includes bonuses, stock options, or other incentives and typically requires a strong track record of complex project management and technical expertise.

What engineers make $300,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They work with tools like ETL (Extract, Transform, Load) processes, databases, and data pipelines, often requiring knowledge of programming languages and data modeling. Their role supports data analysis, reporting, and decision-making by ensuring data consistency and accessibility.
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Infographic showing various Data Integration Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
Canoe Platform Data / Integration Engineer

Canoe Platform Data / Integration Engineer

Brown Advisory

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Company Overview


Every firm has a culture - the values, beliefs, methodology, attitudes and standards that reflect an organization's DNA. But the truly inspiring firms - the game-changers, the industry leaders and the disruptors - have cultures that propel them to innovate and stand out. At Brown Advisory, we aim to be one of those inspired firms. Over the years, we have purposefully built and nurtured our client-first culture.

Brown Advisory is an independent investment management and strategic advisory firm committed to delivering a combination of first-class performance, strategic advice and the highest level of client service. The firm's clients-including individuals, families, family offices, endowments, foundations, charities, institutions, consultants, and financial intermediaries-are served by over 1,000 colleagues worldwide, all of whom are equity owners of the firm.

Position Summary:
Brown Advisory is seeking a Canoe Data / Integration Engineer to support and scale the firm's alternative investment data ecosystem. This role is responsible for technical enablement, data integration, data quality, automation, and production support of Canoe-related workflows within the firm.
The role will work at the intersection of technology, investment operations, portfolio management, client reporting, enterprise data, and vendor platforms.

The successful candidate will help ensure that alternative investment documents and data are accurately ingested, validated, transformed, integrated, and delivered to downstream platforms such as Addepar, Snowflake, reporting tools, portfolio systems, accounting platforms, and analytics environments.


This is a hands-on technical and analytical role for a candidate with at least five years of relevant experience in data engineering, platform integrations, investment operations technology, or financial systems support. The ideal candidate has direct Canoe experience or comparable experience with alternative investment data, document automation, data extraction, API integrations, and financial services data operations.


The primary duties and responsibilities include but are not limited to:

  • Build, maintain, and improve integrations between Canoe and enterprise platforms, including Addepar, Snowflake, reporting tools, portfolio systems, accounting systems, data warehouses, and other vendor applications.
  • Support document ingestion, classification, extraction, validation, exception management, and downstream delivery of alternative investment data.
  • Analyze, troubleshoot, and resolve data issues involving capital calls, distributions, capital account statements, NAVs, commitments, contributions, withdrawals, valuations, K-1s, fund metadata, investor entities, and related alternative investment documents.
  • Support, maintain, and enhance Canoe-related data workflows across alternative investments, investment operations, portfolio management, client reporting, performance analytics, and financial reporting.
  • Develop and maintain data pipelines, SQL queries, reconciliation logic, data validation scripts, exception reports, and operational monitoring routines.
  • Partner with investment operations, reporting, portfolio management, accounting, compliance, and technology teams to translate business requirements into data requirements, mappings, validation rules, and integration specifications.
  • Support secure and controlled data movement from Canoe into Snowflake and other enterprise data platforms.
  • Contribute to data modeling, data transformation, and consumption-layer design for alternative investment data used in reporting, analytics, portfolio review, and client service workflows.
  • Use APIs, file-based integrations, ETL/ELT tools, automation scripts, and platform configuration to improve the reliability and scalability of Canoe-related workflows.
  • Monitor production data feeds, identify exceptions, perform root-cause analysis, coordinate remediation, and escalate issues to vendors or internal teams as appropriate.
  • Validate data quality, completeness, timeliness, and consistency across Canoe, Addepar, Snowflake, reporting tools, and other downstream systems.
  • Participate in platform enhancements, regression testing, user acceptance testing, release planning, production deployments, and change-management activities.
  • Maintain documentation for data flows, source-to-target mappings, business rules, control points, reconciliation procedures, support runbooks, and platform operating procedures.
  • Identify opportunities to automate manual processes, reduce recurring exceptions, improve document-processing accuracy, and strengthen operational controls.
  • Ensure Canoe-related data processes align with Brown Advisory's standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.
  • Collaborate with architects, data engineers, analysts, platform owners, vendors, and business stakeholders to improve the reliability, usability, and scalability of the alternative investment data environment.


Required Qualifications:

  • Bachelor's degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.
  • 5+ years of experience in data engineering, data analysis, platform integration, investment operations technology, financial systems support, or enterprise data operations.
  • Experience with Canoe or comparable alternative investment document automation, data extraction, data management, or investment operations platforms.
  • Strong understanding of alternative investment workflows, including capital calls, distributions, statements, valuations, commitments, contributions, withdrawals, fund metadata, investor entities, and client reporting requirements.
  • Experience supporting data integrations, data pipelines, data feeds, file-based transfers, API-based integrations, or vendor platform connectivity.
  • Intermediate to advanced SQL skills, including querying, joins, aggregations, data profiling, exception identification, validation, and reconciliation.
  • Experience analyzing and resolving data quality issues across investment, accounting, reporting, portfolio, transaction, position, and reference datasets.
  • Familiarity with wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.
  • Experience translating business requirements into technical specifications, data mappings, validation rules, reconciliation procedures, and operating documentation.
  • Strong analytical, problem-solving, documentation, communication, and stakeholder-management skills.
  • Ability to work effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for data accuracy and reliability.
  • Ability to work in Brown Advisory's Baltimore office three days per week.

Desired Qualifications:

  • Direct hands-on experience with Canoe, including document collection workflows, extraction review, validation queues, exception management, data delivery, and platform support.
  • Experience integrating Canoe with Addepar, Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, accounting systems, client portals, or portfolio management platforms.
  • Experience using APIs, webhooks, ETL/ELT tools, orchestration platforms, secure file transfers, and automation scripts to support platform integrations.
  • Experience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, quality checks, and consumption-layer design.
  • Experience with Python, dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, Matillion, or comparable data engineering tools.
  • Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.
  • Experience developing dashboards, operational metrics, exception reports, reconciliation tools, or data quality monitoring processes.
  • Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, privacy, and operational risk requirements.
  • Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.
  • Ability to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.


Technical and Business Level Competencies:

  • Canoe platform workflows, document ingestion, extraction validation, exception handling, and data delivery
  • Alternative investment data, including capital calls, distributions, statements, NAVs, commitments, valuations, fund metadata, and investor entities
  • API-based integrations, file-based integrations, middleware, ETL/ELT workflows, and data pipeline support
  • SQL, data profiling, data reconciliation, data validation, and exception management
  • Snowflake and modern enterprise data platform concepts
  • Addepar and downstream portfolio reporting or analytics workflows
  • Wealth and asset management operations
  • Portfolio analytics, client reporting, performance reporting, investment operations, and financial reporting
  • Data governance, data quality, lineage, access controls, auditability, and operational resilience
  • Production support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation
  • Agile delivery, requirements analysis, user acceptance testing, change management, and technical documentation
  • Communication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders

Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization (e.g., H-1B, O-1, F-1 (OPT), TN, or any other non-immigrant visa classifications that require employer support or sponsorship).

MD Salary: $132.5K-$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

MA Salary: $145.75K-$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

DC Salary: $145.75K-$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

NY Salary: $159K-$207K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

Benefits


At Brown Advisory we offer a competitive compensation package, including full benefits.
Medical
Dental
Vision
Wellness program participation incentive
Financial wellness program
Fitness event fee reimbursement
Gym membership discounts
Colleague Assistance Program
Telemedicine Program (for those enrolled in Medical)
Adoption Benefits
Daycare late pick-up fee reimbursement
Basic Life & Accidental Death & Dismemberment Insurance
Voluntary Life & Accidental Death & Dismemberment Insurance
Short Term Disability
Paid parental leave
Group Long Term Disability
Pet Insurance
401(k) (50% employer match up to IRS limit, 4 year vesting)

Brown Advisory is an Equal Employment Opportunity Employer.