922 Big Data Engineer jobs in Bronx,NY

Strong SQL and database management experience
Experience with data pipelines and ETL processes
Proficiency in machine learning and statistical modeling
Experience with BI tools (Power BI, Tableau)
Full-stack development knowledge
Experience with cloud platforms (AWS preferred)
Data architecture
Data modeling n
Infrastructure setup
Ability to work with large-scale datasets
Programming experience (likely Python/R inferred)
Strong problem-solving and analytical skills
Bachelor's degree in Electrical Engineering or Computer Engineering
The role requires full stack knowledge, including front-end and back-end components, and the ability to set up new infrastructure.

SmartExplore AI is experimental.

New, Posted 22 hours ago

Apply Directly

Sr. Project Engineer

MasTec Industrial

Jersey City, NJ 07305

$130,000-$160,000/yr

Apply Directly

Specialist, Manufacturing Engineer

L3 Harris

Clifton, NJ 07011

~ 28 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
Ability to obtain a US security clearance
Security clearances may only be granted to U.S. citizens

SmartExplore AI is experimental.

Apply Directly

Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

~ 18 min OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
Minimumone year of recent experience in an engineering firm, corporation, or public accounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
Understanding of construction processes and building systems, and how project costs translate into asset classifications
Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
Experience reviewing technical drawings, construction documentation, or large project cost datasets
Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data-wrangling/automation tools (such as Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

Recommended

Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

Apply Directly

Mobile Associate, Bilingual Spanish - Retail Sales

T-Mobile

Bronx, NY 10475

$20/hr

OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma/GED (Required)
6 months of customer service and/or sales experience, Retail environment. (Preferred)
Passionate customer advocate with the desire to be yourself when connecting and having fun doing it! (Required)
Competitive drive and proven ability to succeed in a fast-paced sales environment. (Required)
Effective at balancing customer needs and performance goals. (Required)
At least 18 years of age
Legally authorized to work in the United States

SmartExplore AI is experimental.

Apply Directly

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 18 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.