• Design and develop data serving and semantic layers to support business needs • Develop data models for use by analysts and applications using modern dimensional modeling practices • Build and maintain robust, scalable data pipelines using ETL, ELT processes • Create efficient and performant data models to support business requirements • Implement and automate data quality checks and monitoring to ensure data accuracy • Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions • Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs

Role Description Gordon Rees Scully Mansukhani, a national law firm with offices in all 50 States, has an immediate opening for a Financial Data Reporter. This is a remote or hybrid role reporting to one of the firm’s many locations across the US. The primary function of this entry to mid-level role is to review, prioritize, and respond to ad-hoc data inquiries from internal users by utilizing data warehouses, financial application tools, or simple SQL queries. This position requires strong communication, interpersonal, and organizational skills along with high computer literacy and the ability to collaborate across a multitude of departments and varying user financial aptitudes within the firm. The ability to work efficiently under pressure, manage competing data requests, and maintain accuracy in a fast-paced environment is essential. Qualifications - A four-year college degree, ideally in accounting, business, finance, or mathematics is preferred; applicants with equivalent, relevant work experience in the accounting and/or legal fields will also be considered. - Work experience or academic background should demonstrate appropriate understanding/working knowledge of detailed financial data and modeling. - Proficient knowledge of Microsoft Excel is required. - Working knowledge of Microsoft SQL, SSRS, and Teams is a strong plus. - Solid computer literacy and familiarity with the standard MS Office Suite, including word processing, spreadsheet, database, and presentation programs. - Ability to communicate and interact effectively with employees with varied backgrounds, skill sets, and levels of financial technical aptitude. - Highly organized, adept at prioritizing data requests, problem-solving, and working under deadlines. - Ability to work both independently, with little or no direction, and collaboratively within a team or inter-departmentally. Requirements - Review, prioritize, and fulfill ad-hoc financial data inquiries from internal firm users via a ticketing system in a timely and accurate manner. - Extract, manipulate, and analyze data out of core data warehouses and legal financial application tools. - Write and execute simple SQL queries to extract necessary financial sets for reporting requests. - Identify needs for automated data reporting solutions based on recurring internal user requests. - Coordinate directly with FinTech developers to design, test, and provide automated data-driven solutions for customers and internal departments. - Assist in mapping out data requirements and workflow logic to improve reporting delivery and data visibility across the firm. - Validate reporting outputs to maintain data integrity and protect the quality of reporting systems. - Translate complex financial data into clear, readable layouts (such as spreadsheets, summaries, or basic presentation formats) for users of varying financial aptitudes. Benefits - Competitive compensation. - Full benefits package, including Medical, Dental, Vision, 401K, PTO, Disability, Parental Leave & Life Insurance. - The yearly salary range is between $55,000-$70,000. Company Description This position is open to all experience levels. The actual salary offered may be above or below the identified range and will be based on a wide range of factors, including relevant skills, training, experience, including the location where the position is filled. For consideration, please submit a cover letter and resume. No recruiter emails or telephone calls. Disclaimer: Reposting positions from this website does not authorize search firms or other third parties to directly solicit candidates on the firm’s behalf or represent a relationship with the firm. Agencies must sign GRSM’s fee agreement. The firm’s search agreements are specific to individuals and groups who will be considered on a case-by-case basis. Candidates submitted by a search firm without an executed search firm agreement will not be considered as an applicant. For consideration, please send a detailed blind profile of your candidate to: recruiting@grsm.com.

• Lead the Enterprise Platform data engineering function—defining the roadmap, operating model, and standards that implement JLL’s company data strategy and data quality programs at enterprise scale. • Align team execution with JLL’s enterprise data strategy while delivering the platform capabilities that all business units depend on. • Define and drive the Enterprise Platform data strategy—implementing JLL’s company data strategy and consolidating siloed data sources into a unified, governed, and scalable data architecture. • Provide technical leadership across the Enterprise Platform Data Engineering team and related initiatives, setting architectural standards, design patterns, and best practices. • Architect sophisticated integration strategies for structured and unstructured data sources. • Design and implement enterprise-grade data integration frameworks.

Role Description As a data engineer at Echo Global Logistics, you will: - Collaborate with Agile teams to design, develop, integrate, and manage Echo's large scale data solutions including data storage, data modeling, ETL, data querying, and reporting. - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the data engineering community. - Deliver robust cloud-based solutions. - Lead in the research, evaluation, operational usage and building of relational and non-SQL solutions. - Utilize programming languages like Python, Open Source and NoSQL databases, and a variety of AWS tools and services such as AWS Glue, Firehose, S3, Redshift, and Athena. AI-Augmented Development - Define and lead adoption of GenAI coding workflows using tools such as GitHub Copilot, Cursor, and OpenAI APIs - actively guiding, not passively accepting, AI-generated output. - Design and operationalize agentic, multi-step workflows to automate feature development, bug triage, and documentation pipelines. - Establish prompt data engineering standards, validation frameworks, and team playbooks that ensure consistent, high-quality AI-assisted development across the organization. Outcome-Driven Engineering - Own complex data products end-to-end - from design to production - with a clear line of sight to business metrics such as cycle time, defect rates, and system uptime. - Design high-performance transformation architecture. - Drive measurable productivity improvements by replacing manual effort with intelligent automation at every stage of the SDLC. AI Governance & Quality Oversight - Act as the critical human-in-the-loop - rigorously reviewing AI-generated code for hallucinations, security vulnerabilities, architectural gaps, and logical flaws before they reach production. - Apply security awareness across AI tooling (OWASP Top 10 and AI-specific attack surfaces) and enforce standards that protect system integrity. - Conduct architectural reviews and code reviews that elevate both human-written and AI-generated contributions to production quality. Qualifications - At least 5 years of professional data or software engineering experience (Internship experience does not apply). - 5+ years of experience in at least 2 of the following modern languages: .Net, Python, Scala, Java. - 3+ years of experience with AWS, GCP, Azure, or another cloud service. - 2+ years of experience in Agile practices. - Experience with AWS Athena and Redshift. - Experience with reporting tools such as Quicksuite, PowerBI, Tableau. - Proven experience leading technical design, architecture decisions, and cross-team technical initiatives. - Demonstrated experience mentoring and coaching engineers. - Active, hands-on proficiency with at least one AI coding assistant (GitHub Copilot, Cursor, or equivalent). Preferred Skills - 7+ years of professional data or software engineering experience. - Bachelor's Degree in computer science or equivalent years of experience. - AWS Certifications (Solutions Architect Professional or Developer Professional). - Experience in logistics, transportation, or supply chain technology domains. - Experience with observability platforms, distributed tracing, and SRE practices. - Track record leading platform migrations, modernization initiatives. - Strong background in event-driven Data Lake architectures. Requirements - This job operates in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. - The noise level in the work environment is typical of that of an office with an open seating floor plan. - The employee may encounter frequent interruptions throughout the work day. - The employee is regularly required to sit, talk, or hear. Benefits - For more information about our benefit offerings, please visit our careers page at Echo Careers . Compensation - $112,498.00 - $163,571.00 per year. - This role is eligible for a bonus that is based on a combination of personal and business performance.