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McNees Wallace & Nurick LLC

Data Platform & Integration Engineer

RemoteUnited States only
Published
Role
Data Engineering
Experience
Lead
Company size
Mid-size
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Data platform engineer with 8+ years in data engineering, systems integration, or platform development. Must know SQL, one scripting/programming language, cloud data warehouses, ETL/ELT, and enterprise integration/API platforms; Snowflake and MuleSoft are central.

Core skills

ETLSnowflake/Databricks/Redshift/BigQueryMuleSoft

Required skills

SQLPython/Java/DataWeaveELTREST/SOAP/RAML/OASSnowflake Horizon Catalog/Atlan/Collibra/Alation

Optional skills

Apache KafkaFulcrumIntappNetDocumentsAderantEliteAzure Data Engineer Associate

What you'll do

  • Own the firm's enterprise data platform and data lineage strategy, including cataloging and lineage tracking across Snowflake and MuleSoft-connected systems.
  • Design, build, and manage the Snowflake data warehouse, including account structure, warehouse architecture, and role-based access controls.
  • Develop scalable ELT/ETL pipelines and data models using Snowpipe, Streams and Tasks, dbt, and related technologies to support reporting and analytics needs.
  • Establish Snowflake security, governance, data masking, performance tuning, and cost optimization practices.
  • Lead the adoption and implementation of MuleSoft, designing APIs and integration flows that connect the firm's critical business applications.
  • Define enterprise integration architecture standards and manage the full lifecycle of integrations, from design and development through deployment, monitoring, and support.
  • Develop and enforce data governance policies while monitoring data quality, security, and reliability across the organization.
  • Maintain documentation for data architecture, integrations, mappings, and lineage to support operational and audit requirements.
  • Serve as the firm's subject matter expert for data platform and integration architecture, partnering with stakeholders and leadership to translate business requirements into scalable technical solutions.
  • Own the technology roadmap for continued platform maturity and evaluate emerging technologies to support future growth.
  • Support enterprise applications, reporting, dashboards, analytics initiatives, and firmwide technology projects.
  • Troubleshoot and resolve platform and integration issues while serving as the primary escalation point for related technologies.

What they require

  • Bachelor's degree in Information Technology, Information Systems, Computer Science, or a related field, or equivalent practical experience.
  • 8+ years of experience in data engineering, systems integration, platform development, or related disciplines, including experience building enterprise data and integration environments from the ground up.
  • Strong proficiency in SQL and at least one programming or scripting language such as Python, Java, or DataWeave.
  • Demonstrated experience designing and implementing ETL/ELT pipelines, enterprise data models, and cloud-based data warehouse solutions.
  • Hands-on experience with Snowflake or comparable cloud data warehouse platforms such as Databricks, Redshift, or BigQuery, including administration, performance tuning, and role-based security.
  • Experience with enterprise integration or iPaaS platforms, ideally MuleSoft, including API design and development using REST, SOAP, and RAML/OAS specifications.
  • Strong understanding of API-led connectivity, reusable API design, integration architecture patterns, and application networks.
  • Experience with data governance, metadata management, data quality, data cataloging, and data lineage tools such as Snowflake Horizon Catalog, Atlan, Collibra, or Alation.
  • Familiarity with CI/CD pipelines, Infrastructure as Code, event-driven architecture, and messaging technologies such as Apache Kafka.
  • Proven ability to independently lead technology initiatives from requirements gathering through architecture, implementation, deployment, and ongoing operational support.
  • Preferred: Experience with legal technology platforms such as Fulcrum, Intapp, NetDocuments, Aderant, or Elite, or experience within a professional services or legal environment, is preferred.
  • Preferred: Relevant technical certifications, such as Microsoft Certified: Azure Data Engineer Associate, are a plus.
  • Exceptional analytical, troubleshooting, problem-solving, communication, and organizational skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to manage multiple priorities, maintain detailed documentation, and handle sensitive and confidential information with discretion.

Benefits

  • Mentorship, leadership development, and continuous learning opportunities.
  • Flexibility and well-being with a family-focused culture, reasonable revenue hour expectations, and technology that drives efficiency.
  • Engaging work environment.
  • Robust opportunities for professional development.
  • Challenging and rewarding career paths.
  • Competitive compensation.

Since 1935, McNees has been a trusted, client-focused law firm delivering practical, results-driven legal solutions with integrity and a client-first philosophy. McNees is a full-service firm headquartered in Harrisburg, Pa., with offices across Pennsylvania, Maryland, Ohio, and Washington, D.C.

🇺🇸 United StatesLegalMid-sizemcneeslaw.com/

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